Différences

Ci-dessous, les différences entre deux révisions de la page.

--- fr:publis [2010/06/10 11:51] – ggovaert
+++ fr:publis [2010/06/10 15:43] – ggovaert
@@ Ligne 1: / Ligne 1: @@
 <html>
-  <head><title>Publications</title>
+<head>
-    <link rel="stylesheet" type="text/css" href="Styles/screen.css">
+<title>JabRef References output</title>
-    <script type="text/javascript">
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
-      <!--
-	  // QuickSearch script for tables
+<script type="text/javascript">
-	  //
+<!--
-	  // Copyright (c) 2006, Mark Schenk
+// QuickSearch script for tables
-	  //
+//
-	  // Permission to use, copy, modify, and distribute this software for any
+// Copyright (c) 2006, Mark Schenk
-	  // purpose with or without fee is hereby granted, provided that the above
+//
-	  // copyright notice and this permission notice appear in all copies.
+// Permission to use, copy, modify, and distribute this software for any
-	  //
+// purpose with or without fee is hereby granted, provided that the above
+// copyright notice and this permission notice appear in all copies.
+//
+// Some features:
+// + combination of CSS/JavaScript degrades nicely
+// + easy to set number of columns to search
+// + allows RegExp searches
+//   e.g. to search for entries between 1980 and 1989, type:  198[0-9]
+//   e.g. for any entry ending with 'symmetry', type:  symmetry$
+//   e.g. for all reftypes that are books: ^book$, or ^article$
+// + easy toggling of Abstract/Review/BibTeX
+if (window.opera) {
+	document.addEventListener("load",initSearch,false) }
+else if (window.addEventListener) {
+	window.addEventListener("load",initSearch,false) }
+else if (window.attachEvent) {
+	window.attachEvent("onload", initSearch); }
+function initSearch() {
+	// basic object detection
+	if(!document.getElementById || !document.getElementsByTagName) { return; }
+	// check if QuickSearch table AND search area is present
+	if (!document.getElementById('qstable')||!document.getElementById('qs')) { return; }
+	// give id of the table that has QuickSearch
+	// is global variable on purpose
+	searchTable = document.getElementById('qstable');
+	setStatistics(-1)
+	document.getElementById('qs').style.display = 'block';
+	document.getElementById('qsfield').onkeyup = testEvent;
+}
+function quickSearch(tInput){
+	searchText = new RegExp(tInput.value,"i");
+	var allRows = searchTable.getElementsByTagName('tbody')[0].getElementsByTagName('tr');
+	var inRows = new Array();
+	for (var i=0, k=0; i<allRows.length;i++) {
+		if (allRows[i].className.indexOf('entry') != -1) {
+	       	inRows[k++] = allRows[i];
+		} else if (allRows[i].className.indexOf('noshow') == -1) {
+		allRows[i].className = allRows[i].className + ' noshow';
+		}
+	}
+	// find/set number of searchable columns
+	// by default script searches all columns
+	var cols = searchTable.getElementsByTagName('thead')[0].getElementsByTagName('th').length;
+	// to set a fixed number of columns, uncomment next line
+	// var cols = 4  // search the left 'cols' columns
+	// count number of hits
+	var hits = 0;
+	// start looping through all rows
+	for (var i = 0; cRow = inRows[i]; i++){
+	inCells = cRow.getElementsByTagName('td');
+	var gevonden = false;
+	for (var j=0; j<cols; j++) { // only first 'cols' columns
+		cCell = inCells[j];
+		var t = cCell.innerText?cCell.innerText:getTextContent(cCell);
+		if ((tInput.value.length == 0) || (t.search(searchText) != -1)){ gevonden=true; }
+	}
+	gevonden == true?cRow.className = 'entry show':cRow.className = 'entry noshow';
+	gevonden == true?hits++:hits=hits;
+	}
+	// update statistics
+	setStatistics(hits)
+}
+function toggleInfo(articleid,info) {
+	var entry = document.getElementById(articleid);
+	var abs = document.getElementById('abs_'+articleid);
+	var rev = document.getElementById('rev_'+articleid);
+	var bib = document.getElementById('bib_'+articleid);
+	if (abs && info == 'abstract') {
+		if(abs.className.indexOf('abstract') != -1) {
+		abs.className.indexOf('noshow') == -1?abs.className = 'abstract noshow':abs.className = 'abstract';
+		}
+	} else if (rev && info == 'review') {
+		if(rev.className.indexOf('review') != -1) {
+		rev.className.indexOf('noshow') == -1?rev.className = 'review noshow':rev.className = 'review';
+		}
+	} else if (bib && info == 'bibtex') {
+		if(bib.className.indexOf('bibtex') != -1) {
+		bib.className.indexOf('noshow') == -1?bib.className = 'bibtex noshow':bib.className = 'bibtex';
+		}
+	} else {
+		return;
+	}
+	// check if one or the other is available
+	var revshow = false;
+	var absshow = false;
+	var bibshow = false;
+	(abs && abs.className.indexOf('noshow') == -1)? absshow = true: absshow = false;
+	(rev && rev.className.indexOf('noshow') == -1)? revshow = true: revshow = false;
+	(bib && bib.className == 'bibtex')? bibshow = true: bibshow = false;
+	// highlight original entry
+	if(entry) {
+		if (revshow || absshow || bibshow) {
+		entry.className = 'entry highlight show';
+		} else {
+		entry.className = 'entry show';
+		}
+	}
+	// When there's a combination of abstract/review/bibtex showing, need to add class for correct styling
+	if(absshow) {
+		(revshow||bibshow)?abs.className = 'abstract nextshow':abs.className = 'abstract';
+	}
+	if (revshow) {
+		bibshow?rev.className = 'review nextshow': rev.className = 'review';
+	}
+}
+function setStatistics (hits) {
+	var allRows = searchTable.getElementsByTagName('tbody')[0].getElementsByTagName('tr');
+	var entries = 0
+	for (var i=0; i<allRows.length;i++) {
+		if (allRows[i].className.indexOf('entry') != -1) {
+	       	entries++;
+		}
+	}
+	if(hits < 0) { hits=entries; }
+	var stats = document.getElementById('stat');
+	if(stats) { stats.firstChild.data = hits + '/' + entries}
+}
+function getTextContent(node) {
+	// Function written by Arve Bersvendsen
+	// http://www.virtuelvis.com
+	if (node.nodeType == 3) {
+	return node.nodeValue;
+	} // text node
+	if (node.nodeType == 1) { // element node
+	var text = [];
+	for (var chld = node.firstChild;chld;chld=chld.nextSibling) {
+		text.push(getTextContent(chld));
+	}
+	return text.join("");
+	} return ""; // some other node, won't contain text nodes.
+}
+function testEvent(e){
+	if (!e) var e = window.event;
+	quickSearch(this);
+}
+function clearQS() {
+	qsfield = document.getElementById('qsfield');
+	qsfield.value = '';
+	quickSearch(qsfield);
+}
+function redoQS(){
+	qsfield = document.getElementById('qsfield');
+	quickSearch(qsfield);
+}
+-->
+</script>
+<style type="text/css">
+body { background-color: white; font-family: "Trebuchet MS", Arial, sans-serif; font-size: 12px; line-height: 1.2; padding: 1em; }
+#qs { width: auto; border-style: solid; border-color: gray; border-width: 1px 1px 1px 1px; padding: 0.5em 0.5em; display:none;  }
+#qs form { padding: 0px; margin: 0px; }
+#qs form p { padding: 0px; margin: 0px; }
+table { border: 0px gray solid; width: 100%; empty-cells: show; }
+thead { height: 1px;}
+th, td { border: 0px gray solid; padding: 0.5em; vertical-align: top;  }
+td { text-align: left; vertical-align: top; }
+th { background-color: #FFFFFF; text-align: left;}
+td a, td a:hover { color: navy; font-weight: bold; }
+tr.noshow { display: none;}
+tr.highlight td { background-color: #FFFFFF; font-weight: bold; }
+tr.abstract td, tr.review td, tr.bibtex td { background-color: #FFFFFF;}
+tr.nextshow td { }
+tr.bibtex pre { width: 100%; overflow: auto;}
+p.infolinks { margin: 0.5em 0em 0em 0em; padding: 0px; }
+</style>
+</head>
+<body>
+<table id="qstable" border="0">
+<tbody>
+<tr id="biernacki_10" class="entry">
+    <td>
+    <h2>2010</h2> <br />
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Exact and Monte Carlo Calculations of Integrated Likelihoods for the Latent Class Model, to be published</B></I>.
+	  Journal of Statistical Planning and Inference,&nbsp;
+        Volume 1,
+	  Pages 1-2,
-	  // Some features:
+.
-	  // + combination of CSS/JavaScript degrades nicely
+   	  [<a href="javascript:toggleInfo('biernacki_10','abstract')">Abstract</a>]
-	  // + easy to set number of columns to search
-	  // + allows RegExp searches
-	  //   e.g. to search for entries between 1980 and 1989, type:  198[0-9]
-	  //   e.g. for any entry ending with 'symmetry', type:  symmetry$
-	  //   e.g. for all reftypes that are books: ^book$, or ^article$
-	  // + easy toggling of Abstract/Review/BibTeX
-	  if (window.opera) {
+	  <a href="javascript:toggleInfo('biernacki_10','bibtex')">[BibTeX]</a>
-	  document.addEventListener("load",initSearch,false) }
-	  else if (window.addEventListener) {
-	  window.addEventListener("load",initSearch,false) }
-	  else if (window.attachEvent) {
-	  window.attachEvent("onload", initSearch); }
-	  function initSearch() {
+	  </p>
-	  // basic object detection
+      </td>
-	  if(!document.getElementById || !document.getElementsByTagName) { return; }
+</tr>
+<tr id="abs_biernacki_10" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: The latent class model or multivariate multinomial mixture is a powerful approach for  clustering categorical data.   It uses a conditional independence assumption given the latent class to which a statistical unit is belonging.  In this paper, we exploit the fact that a fully Bayesian analysis with Jeffreys non informative prior distributions does not involve technical difficulty to propose an exact expression of the integrated <em>complete-data</em> likelihood, which is known as being a meaningful model selection criterion in a clustering perspective. Similarly, a Monte Carlo approximation of the integrated <em>observed-data</em> likelihood can be obtained in two steps.  An exact integration over the parameters is followed by an approximation of the sum over all possible partitions through an importance sampling strategy. Then, the exact and the approximate criteria experimentally compete respectively with their standard asymptotic BIC approximations for choosing the number of mixture components. Numerical experiments on simulated data and a biological example highlight that asymptotic criteria are usually dramatically more conservative than the non-asymptotic presented criteria, not only for moderate sample sizes as expected but also for quite large sample sizes.  This research highlights that asymptotic standard criteria could often fail to select some interesting structures present in the data.</td>
+</tr>
+<tr id="bib_biernacki_10" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{biernacki_10,
+  author = {Biernacki, C. and Celeux, G. and Govaert, G.},
+  title = {Exact and Monte Carlo Calculations of Integrated Likelihoods for the Latent Class Model, to be published},
+  journal = {Journal of Statistical Planning and Inference},
+  year = {2010},
+  volume = {1},
+  pages = {1-2}
+}
+</pre></td>
+</tr>
+<tr id="chamroukhi_m10a" class="entry">
+    <td>
+<p class="infolinks">
+    F. Chamroukhi; A. Same; G. Govaert &amp; P. Aknin.
+    <I><B>A hidden process regression model for functional data description. Application to curve discrimination</B></I>.
+	  Neurocomputing,&nbsp;
+        Volume 73,
+	  Pages 1210-1221,
-	  // check if QuickSearch table AND search area is present
+.
-	  if (!document.getElementById('qstable')||!document.getElementById('qs')) { return; }
+   	  [<a href="javascript:toggleInfo('chamroukhi_m10a','abstract')">Abstract</a>]
-	  // give id of the table that has QuickSearch
+	  <a href="javascript:toggleInfo('chamroukhi_m10a','bibtex')">[BibTeX]</a>
-	  // is global variable on purpose
-	  searchTable = document.getElementById('qstable');
-	  setStatistics(-1)
+	  </p>
+      </td>
+</tr>
+<tr id="abs_chamroukhi_m10a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: A new approach for functional data description is proposed in this paper. It consists of a regression model wit a discrete hidden logistic process which is adapted for modeling curves with abrupt or smooth regime changes.The model parameters are estimated in a maximum likelihood framework through a dedicated expectation maximization (EM) algorithm.From the proposed generative model, a curve discrimination rule is derived using the maximum a posteriori rule. The proposed model is evaluated using simulated curves and real world curves acquired during railways witch operations, by performing comparisons with the piecewise regression approach in terms of curv emodeling and classification.</td>
+</tr>
+<tr id="bib_chamroukhi_m10a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{chamroukhi_m10a,
+  author = {Chamroukhi, F. and Sam\' e, A. and Govaert, G. and Aknin, P.},
+  title = {A hidden process regression model for functional data description. Application to curve discrimination},
+  journal = {Neurocomputing},
+  year = {2010},
+  volume = {73},
+  pages = {1210-1221}
+}
+</pre></td>
+</tr>
+<tr id="chamroukhi_m10b" class="entry">
+    <td>
+<p class="infolinks">
+    F. Chamroukhi; A. Same; G. Govaert &amp; P. Aknin.
+    <I><B>Mod&egrave;le &agrave; processus latent et algorithme EM pour la r&eacute;gression non lin&eacute;aire, to be published</B></I>.
+	  RNTI, Revue des Nouvelles Technologies de l'Information,&nbsp;
-	  document.getElementById('qs').style.display = 'block';
-	  document.getElementById('qsfield').onkeyup = testEvent;
-	  }
-	  function quickSearch(tInput){
+.
-	  searchText = new RegExp(tInput.value,"i");
+   	  [<a href="javascript:toggleInfo('chamroukhi_m10b','abstract')">Abstract</a>]
-	  var allRows = searchTable.getElementsByTagName('tbody')[0].getElementsByTagName('tr');
-	  var inRows = new Array();
-	  for (var i=0, k=0; i<allRows.length;i++) {
+	  <a href="javascript:toggleInfo('chamroukhi_m10b','bibtex')">[BibTeX]</a>
-	  if (allRows[i].className.indexOf('entry') != -1) {
-	  inRows[k++] = allRows[i];
-	  } else if (allRows[i].className.indexOf('noshow') == -1) {
-	  allRows[i].className = allRows[i].className + ' noshow';
-	  }
-	  }
-	  // find/set number of searchable columns
+	  </p>
-	  // by default script searches all columns
+      </td>
-	  var cols = searchTable.getElementsByTagName('thead')[0].getElementsByTagName('th').length;
+</tr>
-	  // to set a fixed number of columns, uncomment next line
+<tr id="abs_chamroukhi_m10b" class="abstract noshow">
-	  // var cols = 4  // search the left 'cols' columns
+	<td colspan="6"><b>Abstract</b>: Cet article propose une m&eacute;thode de r&eacute;gression non lineaire qui s'appuie sur un mod&egrave;le int&eacute;grant un processus latent qui permet d'activer pr&eacute;f&eacute;rentiellement,<br>et de mani&egrave;re souple, des sous-mod&egrave;les de r&eacute;gression polynomiaux. Les param&egrave;tres du mod&egrave;le sont estim&eacute;s par la m&eacute;thode du maximumde vraisemblance<br>mise en &#339; vre par un algorithme EM d&eacute;di&eacute;. Une &eacute;tude exp&eacute;rimentale men&egrave;e sur des donn&eacute;es simul&eacute;es et des donn&eacute;es r&eacute;elles met en &eacute;vidence de bonnes<br>performances de l'approche propos&eacute;e.</td>
+</tr>
+<tr id="bib_chamroukhi_m10b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{chamroukhi_m10b,
+  author = {Chamroukhi, F. and Sam\' e, A. and Govaert, G. and Aknin, P.},
+  title = {Mod\`ele \`a processus latent et algorithme {EM} pour la r\'egression non lin\'eaire, to be published},
+  journal = {RNTI, Revue des Nouvelles Technologies de l'Information},
+  year = {2010}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m10a" class="entry">
+    <td>
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Latent Block Model for Contingency Table</B></I>.
+	  Communications in Statistics - Theory and Methods,&nbsp;
+        Volume 39,
+        Number 3,
+	  Pages 416-425,
-	  // count number of hits
+.
-	  var hits = 0;
+   	  [<a href="javascript:toggleInfo('govaert_m10a','abstract')">Abstract</a>]
-	  // start looping through all rows
+	  <a href="javascript:toggleInfo('govaert_m10a','bibtex')">[BibTeX]</a>
-	  for (var i = 0; cRow = inRows[i]; i++){
-	  inCells = cRow.getElementsByTagName('td');
+	  </p>
-	  var gevonden = false;
+      </td>
+</tr>
+<tr id="abs_govaert_m10a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Although many clustering procedures aim to construct an optimal partition of objects or, sometimes, of variables, there are other methods, called block clustering methods, which consider simultaneously the two sets and organize the data into homogeneous blocks.  This kind of methods has practical importance in a wide of variety of applications such as text and market basket data analysis. Typically, the data that arises in these applications is arranged as two-way contingency table.  Using Poisson distributions, a latent block model for these data is proposed and, setting it under the maximum likelihood approach and the classification maximum likelihood approach, various algorithms are proposed. Their performances are evaluated and compared to a simple use of EM or CEM applied separately on the rows and columns of the contingency table.</td>
+</tr>
+<tr id="bib_govaert_m10a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{govaert_m10a,
+  author = {Govaert, G. and Nadif, M.},
+  title = {Latent Block Model for Contingency Table},
+  journal = {Communications in Statistics - Theory and Methods},
+  year = {2010},
+  volume = {39},
+  number = {3},
+  pages = {416-425}
+}
+</pre></td>
+</tr>
+<tr id="caudeville_m09a" class="entry">
+    <td>
+    <h2>2009</h2> <br />
+<p class="infolinks">
+    J. Caudeville; G. Govaert; R. Bonnard; O. Blanchard &amp; A. Cicolella.
+    <I><B>Construction d'un indicateur d'exposition spatialis&eacute; de l'environnement.</B></I>.
+	  STIC &amp; Environnement 2009,&nbsp;
+        Calais,
+-18 juin,
-	  for (var j=0; j<cols; j++) { // only first 'cols' columns
-	  cCell = inCells[j];
-	  var t = cCell.innerText?cCell.innerText:getTextContent(cCell);
-	  if ((tInput.value.length == 0) || (t.search(searchText) != -1)){ gevonden=true; }
-	  }
-	  gevonden == true?cRow.className = 'entry show':cRow.className = 'entry noshow';
+.
-	  gevonden == true?hits++:hits=hits;
+   	  [<a href="javascript:toggleInfo('caudeville_m09a','abstract')">Abstract</a>]
-	  }
-	  // update statistics
+	  <a href="javascript:toggleInfo('caudeville_m09a','bibtex')">[BibTeX]</a>
-	  setStatistics(hits)
-	  }
-	  function toggleInfo(articleid,info) {
+	  </p>
+      </td>
+</tr>
+<tr id="abs_caudeville_m09a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: SIGFRIED project (Geographic Information System, Environmental Risk Factors and Cancer Death) aims to build a spatial exposure indicator concerning French population exposure to chemical pollutants. The indicator integrates environmental geodatabases (water, air, soil) using GIS. A multimedia exposure model solves pollutant transfer equations from source release to human body using health risk assessment approach. The principal aim of the SIGFRIED's Project is to identify hot spot areas with significantly elevated exposure indicator. In a next step, results will be use to define environmental monitoring campaigns and to analyze geographic cancer inequalities in France.</td>
+</tr>
+<tr id="bib_caudeville_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{caudeville_m09a,
+  author = {Caudeville, J. and Govaert, G. and Bonnard, R. and Blanchard, O. and Cicolella, A.},
+  title = {Construction d'un indicateur d'exposition spatialis\'e de l'environnement.},
+  booktitle = {STIC \& Environnement 2009},
+  address = {Calais},
+  month = {16-18 juin},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="caudeville_m09b" class="entry">
+    <td>
+<p class="infolinks">
+    J. Caudeville; G. Govaert; O. Blanchard &amp; A. Cicolella.
+    <I><B>Using Geographic Information Systems to Build an Indicator of Human Exposure to Local Environmental Quality Concerning Chronic Health Risks</B></I>.
+	  X2009 Sixth International Conference on Innovations in Exposure Assessment,&nbsp;
+        Boston, MA,
+        August 17-20,
-	  var entry = document.getElementById(articleid);
-	  var abs = document.getElementById('abs_'+articleid);
-	  var rev = document.getElementById('rev_'+articleid);
-	  var bib = document.getElementById('bib_'+articleid);
-	  if (abs && info == 'abstract') {
+.
-	  if(abs.className.indexOf('abstract') != -1) {
-	  abs.className.indexOf('noshow') == -1?abs.className = 'abstract noshow':abs.className = 'abstract';
-	  }
-	  } else if (rev && info == 'review') {
-	  if(rev.className.indexOf('review') != -1) {
-	  rev.className.indexOf('noshow') == -1?rev.className = 'review noshow':rev.className = 'review';
-	  }
-	  } else if (bib && info == 'bibtex') {
-	  if(bib.className.indexOf('bibtex') != -1) {
-	  bib.className.indexOf('noshow') == -1?bib.className = 'bibtex noshow':bib.className = 'bibtex';
-	  }
-	  } else {
-	  return;
-	  }
-	  // check if one or the other is available
+	  <a href="javascript:toggleInfo('caudeville_m09b','bibtex')">[BibTeX]</a>
-	  var revshow = false;
-	  var absshow = false;
-	  var bibshow = false;
-	  (abs && abs.className.indexOf('noshow') == -1)? absshow = true: absshow = false;
-	  (rev && rev.className.indexOf('noshow') == -1)? revshow = true: revshow = false;
-	  (bib && bib.className == 'bibtex')? bibshow = true: bibshow = false;
-	  // highlight original entry
+	  </p>
-	  if(entry) {
+      </td>
-	  if (revshow || absshow || bibshow) {
+</tr>
-	  entry.className = 'entry highlight show';
+<tr id="bib_caudeville_m09b" class="bibtex noshow">
-	  } else {
+<td colspan="6">
-	  entry.className = 'entry show';
+<b>BibTeX</b>:
-	  }
+<pre>
-	  }
+@inproceedings{caudeville_m09b,
+  author = {Caudeville, J. and Govaert, G. and Blanchard, O. and Cicolella, A.},
+  title = {Using Geographic Information Systems to Build an Indicator of Human Exposure to Local Environmental Quality Concerning Chronic Health Risks},
+  booktitle = {X2009 Sixth International Conference on Innovations in Exposure Assessment},
+  address = {Boston, MA},
+  month = {August 17-20},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="caudeville_m09c" class="entry">
+    <td>
+<p class="infolinks">
+    J. Caudeville; G. Govaert; O. Blanchard &amp; Cicolella.
+    <I><B>Assessing heavy metal exposure from ingestion with multimedia exposure model operating in a GIS environment</B></I>.
+th annual conference of the international society of exposure science,&nbsp;
+        Minneapolis, USA,
+-5 November,
-	  // When there's a combination of abstract/review/bibtex showing, need to add class for correct styling
-	  if(absshow) {
-	  (revshow||bibshow)?abs.className = 'abstract nextshow':abs.className = 'abstract';
-	  }
-	  if (revshow) {
-	  bibshow?rev.className = 'review nextshow': rev.className = 'review';
-	  }
-	  }
+.
-	  function setStatistics (hits) {
+	  <a href="javascript:toggleInfo('caudeville_m09c','bibtex')">[BibTeX]</a>
-	  var allRows = searchTable.getElementsByTagName('tbody')[0].getElementsByTagName('tr');
-	  var entries = 0
-	  for (var i=0; i<allRows.length;i++) {
-	  if (allRows[i].className.indexOf('entry') != -1) {
-	  entries++;
-	  }
-	  }
-	  if(hits < 0) { hits=entries; }
+	  </p>
+      </td>
+</tr>
+<tr id="bib_caudeville_m09c" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{caudeville_m09c,
+  author = {Caudeville, J. and Govaert, G. and Blanchard, O. and Cicolella},
+  title = {Assessing heavy metal exposure from ingestion with multimedia exposure model operating in a GIS environment},
+  booktitle = {19th annual conference of the international society of exposure science},
+  address = {Minneapolis, USA},
+  month = {1-5 November},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="chamroukhi_m09a" class="entry">
+    <td>
+<p class="infolinks">
+    F. Chamroukhi; A. Same; G. Govaert &amp; P. Aknin.
+    <I><B>A regression model with a hidden logistic process for signal parametrization</B></I>.
+th European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning,&nbsp;
+        Bruges (Belgium),
+- 24 April,
-	  var stats = document.getElementById('stat');
-	  if(stats) { stats.firstChild.data = hits + '/' + entries}
-	  }
-	  function getTextContent(node) {
+.
-	  // Function written by Arve Bersvendsen
+   	  [<a href="javascript:toggleInfo('chamroukhi_m09a','abstract')">Abstract</a>]
-	  // http://www.virtuelvis.com
-	  if (node.nodeType == 3) {
+	  <a href="javascript:toggleInfo('chamroukhi_m09a','bibtex')">[BibTeX]</a>
-	  return node.nodeValue;
-	  } // text node
-	  if (node.nodeType == 1) { // element node
-	  var text = [];
-	  for (var chld = node.firstChild;chld;chld=chld.nextSibling) {
-	  text.push(getTextContent(chld));
-	  }
-	  return text.join("");
-	  } return ""; // some other node, won't contain text nodes.
-	  }
-	  function testEvent(e){
+	  </p>
-	  if (!e) var e = window.event;
+      </td>
-	  quickSearch(this);
+</tr>
-	  }
+<tr id="abs_chamroukhi_m09a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: A new approach for signal parametrization, which consists of a specific regression model incorporating a discrete hidden logistic process, is proposed. The model parameters are estimated by the maximum likelihood method performed by a dedicated Expectation Maximization (EM) algorithm. The parameters of the hidden logistic process, in the inner loop of the EM algorithm, are estimated using a multi-class Iterative Reweighted Least-Squares (IRLS) algorithm. An experimental study using simulated and real data reveals good performances of the proposed approach.</td>
+</tr>
+<tr id="bib_chamroukhi_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{chamroukhi_m09a,
+  author = {Chamroukhi, F. and Sam\' e, A. and Govaert, G. and Aknin, P.},
+  title = {A regression model with a hidden logistic process for signal parametrization},
+  booktitle = {17th European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning},
+  address = {Bruges (Belgium)},
+  month = {22 - 24 April},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="chamroukhi_m09b" class="entry">
+    <td>
+<p class="infolinks">
+    F. Chamroukhi; A. Same; G. Govaert &amp; P. Aknin.
+    <I><B>Time series modeling by a regression approach based on a latent process</B></I>.
+	  Neural Networks,&nbsp;
+        Volume 22,
+	  Pages 593-602,
-	  function clearQS() {
+.
-	  qsfield = document.getElementById('qsfield');
+   	  [<a href="javascript:toggleInfo('chamroukhi_m09b','abstract')">Abstract</a>]
-	  qsfield.value = '';
-	  quickSearch(qsfield);
-	  }
-	  function redoQS(){
+	  <a href="javascript:toggleInfo('chamroukhi_m09b','bibtex')">[BibTeX]</a>
-	  qsfield = document.getElementById('qsfield');
-	  quickSearch(qsfield);
-	  }
-	-->
+	  </p>
-    </script>
+      </td>
+</tr>
+<tr id="abs_chamroukhi_m09b" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Time series are used in many domains including finance, engineering, economics and bioinformatics generally to represent the change of a measurement over time. Modeling techniques may then be used to give a synthetic representation of such data. A new approach for time series modeling is proposed in this paper. It consists of a regression model incorporating a discrete hidden logistic process allowing for activating smoothly or abruptly different polynomial regression models. The model parameters are estimated by the maximum likelihood method performed by a dedicated Expectation Maximization (EM) algorithm. The M step of the EM algorithm uses a multi-class Iterative Reweighted Least-Squares (IRLS) algorithm to estimate the hidden process parameters. To evaluate the proposed approach, an experimental study on simulated data and real world data was performed using two alternative approaches: a heteroskedastic piecewise regression model using a global optimization algorithm based on dynamic programming, and a Hidden Markov Regression Model whose parameters are estimated by the Baum-Welch algorithm. Finally, in the context of the remote monitoring of components of the French railway infrastructure, and more particularly the switch mechanism, the proposed approach has been applied to modeling and classifying time series representing the condition measurements acquired during switch operations.</td>
+</tr>
+<tr id="bib_chamroukhi_m09b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{chamroukhi_m09b,
+  author = {Chamroukhi, F. and Sam\' e, A. and Govaert, G. and Aknin, P.},
+  title = {Time series modeling by a regression approach based on a latent process},
+  journal = {Neural Networks},
+  year = {2009},
+  volume = {22},
+  pages = {593-602}
+}
+</pre></td>
+</tr>
+<tr id="chamroukhi_m09c" class="entry">
+    <td>
-    <style type="text/css">
-      body { background-color: white; font-family: "Trebuchet MS", Arial, sans-serif; font-size: 12px; line-height: 1.2; padding: 1em; }
-      #qs { width: auto; border-style: solid; border-color: gray; border-width: 1px 1px 1px 1px; padding: 0.5em 0.5em; display:none;  }
-      #qs form { padding: 0px; margin: 0px; }
-      #qs form p { padding: 0px; margin: 0px; }
-      table { border: 0px gray solid; width: 100%; empty-cells: show; }
-      thead { height: 1px;}
-      th, td { border: 0px gray solid; padding: 0.5em; vertical-align: top;  }
-      td { text-align: left; vertical-align: top; }
-      th { background-color: #FFFFFF; text-align: left;}
-      td a, td a:hover { color: navy; font-weight: bold; }
-      tr.noshow { display: none;}
-      tr.highlight td { background-color: #FFFFFF; border-top: 1px black solid; font-weight: bold; }
-      tr.abstract td, tr.review td, tr.bibtex td { background-color: #FFFFFF; border-bottom: 1px black solid; }
-      tr.nextshow td { border-bottom: 1px gray solid; }
-      tr.bibtex pre { width: 100%; overflow: auto;}
-      p.infolinks { margin: 0.5em 0em 0em 0em; padding: 0px; }
-    </style>
-  </head>
-  <!--=========================================================================================================-->
-  <body>
-    <h2>Publications</h2>
-    <h3>2010</h3>
-    <!--=======================================================================================================-->
-    <table id="qstable" border="0">
-    <tbody>
-<tr id="biernacki_10" class="entry">
-	<td>
 <p class="infolinks">
+    F. Chamroukhi; A. Same; G. Govaert &amp; P Aknin.
-        C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>A regression model with a hidden logistic process for feature extraction from time series</B></I>.
-	  <I><B>Exact and Monte Carlo Calculations of Integrated Likelihoods for the Latent Class Model, to be published</B></I>.
+	  IJCNN'09 International Joint Conference on Neural Networks,&nbsp;
-	  Journal of Statistical Planning and Inference,&nbsp;
+        Atlanta,
-        Volume 1,
-	  Pages 1-2,
-.
-	  <a href="javascript:toggleInfo('biernacki_10','bibtex')">[BibTeX]</a>
+.
+   	  [<a href="javascript:toggleInfo('chamroukhi_m09c','abstract')">Abstract</a>]
+	  <a href="javascript:toggleInfo('chamroukhi_m09c','bibtex')">[BibTeX]</a>
@@ Ligne 248: / Ligne 648: @@
       </td>
 </tr>
+<tr id="abs_chamroukhi_m09c" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: A new approach for feature extraction from time series is proposed in this paper. This approach consists of a specific regression model incorporating a discrete hidden logistic process. The model parameters are estimated by the maximum likelihood method performed by a dedicated Expectation Maximization (EM) algorithm. The parameters of the hidden logistic process, in the inner loop of the EM algorithm, are estimated using a multi-class Iterative Reweighted Least-Squares (IRLS) algorithm. A piecewise regression algorithm and its iterative variant have also been considered for comparisons. An experimental study using simulated and real data reveals good performances of the proposed approach.</td>
+</tr>
+<tr id="bib_chamroukhi_m09c" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{chamroukhi_m09c,
+  author = {Chamroukhi, F. and Sam\' e, A. and Govaert, G. and Aknin, P},
+  title = {A regression model with a hidden logistic process for feature extraction from time series},
+  booktitle = {IJCNN'09 International Joint Conference on Neural Networks},
+  address = {Atlanta},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="gaillard_m09" class="entry">
+    <td>
-    </tbody>
-    </table>
-    <h3>2009</h3>
-    <!--=======================================================================================================-->
-    <table id="qstable" border="0">
-    <tbody>
-aa
-    </tbody>
+<p class="infolinks">
-    </table>
+    P. Gaillard; M. Aupetit &amp; G. Govaert.
+    <I><B>Le Graphe G&eacute;n&eacute;ratif Gaussien</B></I>.
+	  La Revue MODULAD,&nbsp;
+        Number 40,
+	  Pages 103-120,
+.
+   	  [<a href="javascript:toggleInfo('gaillard_m09','abstract')">Abstract</a>]
+	  <a href="javascript:toggleInfo('gaillard_m09','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="abs_gaillard_m09" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Un nuage de points est plus qu'un ensemble de points isol珩⸀ 䰀愀 搀椀猀琀爀椀戀甀琀椀漀渀 搀攀猀 瀀漀椀渀琀猀 瀀攀甀琀 tre gouvern早 瀀愀爀 甀渀攀 猀琀爀甀挀琀甀爀攀 琀漀瀀漀氀漀最椀焀甀攀 挀愀挀栀e, et du point de vue de la fouille de donn早猀Ⰰ 洀漀搀liser et extraire cette structure est au moins aussi important que d'estimer la seule densit⃩搀攀 瀀爀漀戀愀戀椀氀椀琀 du nuage. Dans cet article, nous proposons un mod注攀 最n狩愀琀椀昀 戀愀猀 sur le graphe de Delaunay d'un ensemble de prototypes repr珩攀渀琀愀渀琀 氀攀 渀甀愀最攀 搀攀 瀀漀椀渀琀猀Ⰰ 攀琀 猀甀瀀瀀漀猀愀渀琀 甀渀 戀爀甀椀琀 最愀甀猀猀椀攀渀⸀ 一漀甀猀 搀rivons un algorithme pour la maximisation de la vraisemblance des param瓨爀攀猀Ⰰ 攀琀 渀漀甀猀 甀琀椀氀椀猀漀渀猀 氀攀 挀爀椀琀re BIC pour s泩攀挀琀椀漀渀渀攀爀 氀愀 挀漀洀瀀氀攀砀椀琀 du mod注攀⸀ 䌀攀 琀爀愀瘀愀椀氀 愀 瀀漀甀爀 漀戀樀攀挀琀椀昀 搀攀 瀀漀猀攀爀 氀攀猀 瀀爀攀洀椀res pierres d'un cadre th濩爀椀焀甀攀 戀愀猀 sur les mod注攀猀 最n狩愀琀椀昀猀 猀琀愀琀椀猀琀椀焀甀攀猀Ⰰ 瀀攀爀洀攀琀琀愀渀琀 氀愀 挀漀渀猀琀爀甀挀琀椀漀渀 愀甀琀漀洀愀琀椀焀甀攀 搀攀 洀漀搀les topologiques d'un nuage de points.</td>
+</tr>
+<tr id="bib_gaillard_m09" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{gaillard_m09,
+  author = {Gaillard, P. and Aupetit, M. and Govaert, G.},
+  title = {Le Graphe G\'en\'eratif Gaussien},
+  journal = {La Revue MODULAD},
+  year = {2009},
+  number = {40},
+  pages = {103-120}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m09a" class="entry">
+    <td>
+<p class="infolinks">
+    G Govaert &amp; M. Nadif.
+    <I><B>Un mod&egrave;le de m&eacute;lange pour la classification crois&eacute;e d'un tableau de donn&eacute;es continues</B></I>.
+	  CAp 09, 11e conf&eacute;rence sur l'apprentissage artificiel,&nbsp;
+        Hammamet, Tunisie,
+-29 mai,
+	  Pages 287-302,
+.
+   	  [<a href="javascript:toggleInfo('govaert_m09a','abstract')">Abstract</a>]
+	  <a href="javascript:toggleInfo('govaert_m09a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="abs_govaert_m09a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Contrairement aux m&eacute;thodes de classification automatique habituelles, les m&eacute;thodes de classification crois&eacute;e traitent l'ensemble des lignes et l'ensemble des colonnes d'un tableau de donn&eacute;es simultan&eacute;ment en cherchant &agrave; obtenir des blocs homog&egrave;nes. Dans cet article, nous abordons la classification crois&eacute;e lorsque le tableau de donn&eacute;es porte sur un ensemble d'individus d&eacute;crits par des variables quantitatives et, pour tenir compte de cet objectif, nous proposons un mod&egrave;le de m&eacute;lange adapt&eacute; &agrave; la classification crois&eacute;e conduisant &agrave; des crit&egrave;res originaux permettant de prendre en compte des situations plus complexes que les crit&egrave;res habituellement utilis&eacute;s dans ce contexte. Les param&egrave;tres sont alors estim&eacute;s par un algorithme EM g&eacute;n&eacute;ralis&eacute; (GEM) maximisant la vraisemblance des donn&eacute;es observ&eacute;es. Nous proposons en outre une nouvelle expression du crit&egrave;re bay&eacute;sien de l'information, appel&eacute;e BICB, adapt&eacute;e &agrave; notre situation pour &eacute;valuer le nombre de blocs. Des exp&eacute;riences num&eacute;riques portant sur des donn&eacute;es synth&eacute;tiques permettent d'&eacute;valuer les performances de GEM et de BICB et de montrer l'int&eacute;r&ecirc;t de cette approche.</td>
+</tr>
+<tr id="bib_govaert_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m09a,
+  author = {Govaert, G and Nadif, M.},
+  title = {Un mod\`ele de m\'elange pour la classification crois\'ee d'un tableau de donn\'ees continues},
+  booktitle = {CAp 09, 11e conf\'erence sur l'apprentissage artificiel},
+  address = {Hammamet, Tunisie},
+  month = {25-29 mai},
+  year = {2009},
+  pages = {287-302}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m09b" class="entry">
+    <td>
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Data Analysis</B></I>.
+	  ,&nbsp;
+	  Wiley,
+.
+	  <a href="javascript:toggleInfo('govaert_m09b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m09b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@book{govaert_m09b,
+  author = {Govaert, G.},
+  title = {Data Analysis},
+  publisher = {Wiley},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m09c" class="entry">
+    <td>
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Clustering and the Mixture Model</B></I>.
+	  Data Analysis,&nbsp;
+	  Pages 257-287,
+	  Wiley,
+.
+	  <a href="javascript:toggleInfo('govaert_m09c','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m09c" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@incollection{govaert_m09c,
+  author = {Govaert, G.},
+  title = {Clustering and the Mixture Model},
+  booktitle = {Data Analysis},
+  publisher = {Wiley},
+  year = {2009},
+  pages = {257-287}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m09d" class="entry">
+    <td>
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Block clustering and mixture models</B></I>.
+	  Working Group on Model-Based Clustering Summer Session,&nbsp;
+        Paris,
+        July 19-25,
+.
+	  <a href="javascript:toggleInfo('govaert_m09d','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m09d" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m09d,
+  author = {Govaert, G.},
+  title = {Block clustering and mixture models},
+  booktitle = {Working Group on Model-Based Clustering Summer Session},
+  address = {Paris},
+  month = {July 19-25},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="masson_m09a" class="entry">
+    <td>
+<p class="infolinks">
+    J.-B. Masson; G. Govaert; C. Mandin; S. Kirchner &amp; A. Cicolella.
+    <I><B>Classification of dwellings into profiles regarding indoor air quality, and identification of indoor air pollution determinant factors</B></I>.
+	  ISIAQ's Healthy Buildings 2009 Conference,&nbsp;
+        Syracuse, NY, USA,
+.
+	  <a href="javascript:toggleInfo('masson_m09a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_masson_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{masson_m09a,
+  author = {Masson,J.-B. and Govaert, G. and Mandin, C. and Kirchner, S. and Cicolella, A.},
+  title = {Classification of dwellings into profiles regarding indoor air quality, and identification of indoor air pollution determinant factors},
+  booktitle = {ISIAQ's Healthy Buildings 2009 Conference},
+  address = {Syracuse, NY, USA},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="nadif_m09a" class="entry">
+    <td>
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Cluster Analysis</B></I>.
+	  Data Analysis,&nbsp;
+	  Pages 215-255,
+	  Wiley,
+.
+	  <a href="javascript:toggleInfo('nadif_m09a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_nadif_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@incollection{nadif_m09a,
+  author = {Nadif, M. and Govaert, G.},
+  title = {Cluster Analysis},
+  booktitle = {Data Analysis},
+  publisher = {Wiley},
+  year = {2009},
+  pages = {215-255}
+}
+</pre></td>
+</tr>
+<tr id="nadif_m09b" class="entry">
+    <td>
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Different variants of model-based coclustering of continuous data</B></I>.
+	  ERCIM 09, 2nd Workshop of the ERCIM Working Group on Computing and Statistics,&nbsp;
+        Limassol, Cyprus,
+        October 29-31,
+	  Pages 14,
+.
+	  <a href="javascript:toggleInfo('nadif_m09b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_nadif_m09b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{nadif_m09b,
+  author = {Nadif, M. and Govaert, G.},
+  title = {Different variants of model-based coclustering of continuous data},
+  booktitle = {ERCIM 09, 2nd Workshop of the ERCIM Working Group on Computing and Statistics},
+  address = {Limassol, Cyprus},
+  month = {October 29-31},
+  year = {2009},
+  pages = {14}
+}
+</pre></td>
+</tr>
+<tr id="same_m09a" class="entry">
+    <td>
+<p class="infolinks">
+    A. Sam&eacute;; F. Chamroukhi &amp; G. Govaert.
+    <I><B>Mod&egrave;le &agrave; processus latent et algorithme EM pour la r&eacute;gression non lin&eacute;aire</B></I>.
+&egrave;mes Journ&eacute;es de Statistique, SFdS, Bordeaux,&nbsp;
+        Bordeaux, France,
+.
+	  <a href="javascript:toggleInfo('same_m09a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_same_m09a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{same_m09a,
+  author = {Sam{\'e}, A. and Chamroukhi, F. and Govaert, G.},
+  title = {{M}od{\`e}le {\`a} processus latent et algorithme {EM} pour la r{\'e}gression non lin{\'e}aire},
+  booktitle = {41{\`e}mes {J}ourn{\'e}es de {S}tatistique, {SF}d{S}, {B}ordeaux},
+  address = {Bordeaux, France},
+  year = {2009}
+}
+</pre></td>
+</tr>
+<tr id="biernacki_m08a" class="entry">
+    <td>
+    <h2>2008</h2> <br />
-    <h3>2008</h3>
-    <!--=======================================================================================================-->
-    <table id="qstable" border="0">
-      <tbody>
-	<tr id="biernacki_m08b" class="entry">
-	  <td>
-	    <p class="infolinks">
-              C. Biernacki; G. Celeux &amp; G. Govaert.
-	      <I><B>Choosing the number of clusters in the latent class model</B></I>.
-	      Advances in Data Analysis, Data Handling and Business Intelligence, 32th Annual
-	      GFKL (Gesellschaft f&uuml;r Klassifikation),&nbsp; University of the Federal
-	      Armed Forces Hamburg, Germany, July 16-18, 2008.
-	      <a href="javascript:toggleInfo('biernacki_m08b','bibtex')">[BibTeX]</a>
-	    </p>
-	  </td>
-	</tr>
-	<tr id="bib_biernacki_m08b" class="bibtex noshow">
-	  <td colspan="6">
-	    <b>BibTeX</b>:
-	    <pre>
-	      @inproceedings{biernacki_m08b,
-	      author = {Biernacki, C. and Celeux, G. and Govaert, G.},
-	      title = {Choosing the number of clusters in the latent class model},
-	      booktitle = {Advances in Data Analysis, Data Handling and Business Intelligence,
-th Annual GFKL (Gesellschaft f\"{u}r Klassifikation)},
-	      address = {University of the Federal Armed Forces Hamburg, Germany},
-	      month = {July 16-18},
-	      year = {2008}
-	      }
-	  </pre></td>
-	</tr>
-	<tr id="biernacki_m08a" class="entry">
+<p class="infolinks">
-	  <td>
-	    <p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
+    C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
-	  <I><B>Mixmod: a software for model-based classification with continuous and categorical data</B></I>.
+    <I><B>Mixmod: a software for model-based classification with continuous and categorical data</B></I>.
 	  SFC - CLADAG 2008, First joint meeting of the Soci&eacute;t&eacute; Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society,&nbsp;
         Caserta, Italy,
@@ Ligne 349: / Ligne 1088: @@
 </pre></td>
 </tr>
-<tr id="gaillard_m08a" class="entry">
+<tr id="biernacki_m08b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Choosing the number of clusters in the latent class model</B></I>.
+	  Advances in Data Analysis, Data Handling and Business Intelligence, 32th Annual GFKL (Gesellschaft f&uuml;r Klassifikation),&nbsp;
+        University of the Federal Armed Forces Hamburg, Germany,
+        July 16-18,
+.
+	  <a href="javascript:toggleInfo('biernacki_m08b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_biernacki_m08b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{biernacki_m08b,
+  author = {Biernacki, C. and Celeux, G. and Govaert, G.},
+  title = {Choosing the number of clusters in the latent class model},
+  booktitle = {Advances in Data Analysis, Data Handling and Business Intelligence, 32th Annual GFKL (Gesellschaft f\"{u}r Klassifikation)},
+  address = {University of the Federal Armed Forces Hamburg, Germany},
+  month = {July 16-18},
+  year = {2008}
+}
+</pre></td>
+</tr>
+<tr id="biernacki_m08c" class="entry">
+    <td>
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Exact and Monte Carlo Calculations of Integrated Likelihoods for the Latent Class Model</B></I>.
+	  International Workshop on Mixture Models and Their Applications,&nbsp;
+        Universit⃩搀攀 倀愀甀 攀琀 搀攀猀 倀愀礀猀 搀攀 氀✀䄀搀漀甀爀Ⰰ ഀ਀        䨀甀渀攀Ⰰ ㈀㌀ⴀ㈀㐀Ⰰ ഀ਀        ഀ਀        ഀ਀        ഀ਀ऀ  ഀ਀ऀ  ഀ਀ऀ  ㈀　　㠀⸀ ഀ਀   ऀ  ഀ਀ऀ  ഀ਀ऀ  㰀愀 栀爀攀昀㴀∀樀愀瘀愀猀挀爀椀瀀琀㨀琀漀最最氀攀䤀渀昀漀⠀✀戀椀攀爀渀愀挀欀椀开洀　㠀挀✀Ⰰ✀戀椀戀琀攀砀✀⤀∀㸀嬀䈀椀戀吀攀堀崀㰀⼀愀㸀ഀ਀  ऀ  ഀ਀        ഀ਀ऀ  ഀ਀ऀ  㰀⼀瀀㸀ഀ਀      㰀⼀琀搀㸀ഀ਀㰀⼀琀爀㸀ഀ਀㰀琀爀 椀搀㴀∀戀椀戀开戀椀攀爀渀愀挀欀椀开洀　㠀挀∀ 挀氀愀猀猀㴀∀戀椀戀琀攀砀 渀漀猀栀漀眀∀㸀ഀ਀㰀琀搀 挀漀氀猀瀀愀渀㴀∀㘀∀㸀ഀ਀㰀戀㸀䈀椀戀吀攀堀㰀⼀戀㸀㨀ഀ਀㰀瀀爀攀㸀ഀ਀䀀椀渀瀀爀漀挀攀攀搀椀渀最猀笀戀椀攀爀渀愀挀欀椀开洀　㠀挀Ⰰഀ਀  愀甀琀栀漀爀 㴀 笀䈀椀攀爀渀愀挀欀椀Ⰰ 䌀⸀ 愀渀搀 䌀攀氀攀甀砀Ⰰ 䜀⸀ 愀渀搀 䜀漀瘀愀攀爀琀Ⰰ 䜀⸀紀Ⰰഀ਀  琀椀琀氀攀 㴀 笀䔀砀愀挀琀 愀渀搀 䴀漀渀琀攀 䌀愀爀氀漀 䌀愀氀挀甀氀愀琀椀漀渀猀 漀昀 䤀渀琀攀最爀愀琀攀搀 䰀椀欀攀氀椀栀漀漀搀猀 昀漀爀 琀栀攀 䰀愀琀攀渀琀 䌀氀愀猀猀 䴀漀搀攀氀紀Ⰰഀ਀  戀漀漀欀琀椀琀氀攀 㴀 笀䤀渀琀攀爀渀愀琀椀漀渀愀氀 圀漀爀欀猀栀漀瀀 漀渀 䴀椀砀琀甀爀攀 䴀漀搀攀氀猀 愀渀搀 吀栀攀椀爀 䄀瀀瀀氀椀挀愀琀椀漀渀猀紀Ⰰഀ਀  愀搀搀爀攀猀猀 㴀 笀唀渀椀瘀攀爀猀椀琀 de Pau et des Pays de l'Adour},
+  month = {June, 23-24},
+  year = {2008}
+}
+</pre></td>
+</tr>
+<tr id="gaillard_m08a" class="entry">
+    <td>
+<p class="infolinks">
-        P. Gaillard; M. Aupetit &amp; G. Govaert.
+    P. Gaillard; M. Aupetit &amp; G. Govaert.
-	  <I><B>Learning topology of a labeled data set with the supervised generative Gaussian graph</B></I>.
+    <I><B>Learning topology of a labeled data set with the supervised generative Gaussian graph</B></I>.
 	  Neurocomputing,&nbsp;
@@ Ligne 393: / Ligne 1194: @@
 </tr>
 <tr id="govaert_m08a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Block clustering with Bernoulli mixture models: Comparison of different approaches</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Block clustering with Bernoulli mixture models: Comparison of different approaches</B></I>.
 	  Computational Statistics and Data Analysis,&nbsp;
@@ Ligne 404: / Ligne 1208: @@
         Volume 52,
+        Number 6,
 	  Pages 3233-3245,
 .
+   	  [<a href="javascript:toggleInfo('govaert_m08a','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('govaert_m08a','bibtex')">[BibTeX]</a>
@@ Ligne 416: / Ligne 1220: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_govaert_m08a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: The block or simultaneous clustering problem on a set of objects and a set of variables is embedded in the mixture model. Two algorithms have been developed: block EM as part of the maximum likelihood and fuzzy approaches, and block CEM as part of the classification maximum likelihood approach. A unified framework for obtaining different variants of block EM is proposed. These variants are studied and their performances evaluated in comparison with block CEM, two-way EM and two-way CEM, i.e EM and CEM applied separately to the two sets.</td>
 </tr>
 <tr id="bib_govaert_m08a" class="bibtex noshow">
@@ Ligne 427: / Ligne 1234: @@
   year = {2008},
   volume = {52},
+  number = {6},
   pages = {3233-3245}
 }
@@ Ligne 432: / Ligne 1240: @@
 </tr>
 <tr id="nadif_m08a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Algorithms for Model-based Block Gaussian Clustering</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Algorithms for Model-based Block Gaussian Clustering</B></I>.
 	  DMIN'08, the 2008 International Conference on Data Mining,&nbsp;
         Las Vegas, Nevada, USA,
@@ Ligne 470: / Ligne 1281: @@
 </pre></td>
 </tr>
-<tr id="priam_m08b" class="entry">
+<tr id="priam_m08a" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    R. Priam; M. Nadif &amp; G. Govaert.
+    <I><B>Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires</B></I>.
+	  Extraction et gestion des connaissances (EGC'2008), Actes des 8&egrave;mes journ&eacute;es Extraction et Gestion des Connaissances,&nbsp;
+        Sophia-Antipolis, France,,
+janvier au 1er f&eacute;vrier,
+        Revue des Nouvelles Technologies de l'Information,
+	  Pages 265-272,
+	  C&eacute;padu&egrave;s-&Eacute;ditions,
+.
+	  <a href="javascript:toggleInfo('priam_m08a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_priam_m08a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{priam_m08a,
+  author = {Priam,R. and Nadif, M. and Govaert, G.},
+  title = {Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires},
+  booktitle = {Extraction et gestion des connaissances (EGC'2008), Actes des 8{\`e}mes journ{\'e}es Extraction et Gestion des Connaissances},
+  address = {Sophia-Antipolis, France,},
+  month = {29 janvier au 1er f{\'e}vrier},
+  publisher = {C{\'e}padu{\`e}s-{\'E}ditions},
+  year = {2008},
+  series = {Revue des Nouvelles Technologies de l'Information},
+  pages = {265-272}
+}
+</pre></td>
+</tr>
+<tr id="priam_m08b" class="entry">
+    <td>
+<p class="infolinks">
-        R. Priam; M. Nadif &amp; G. Govaert.
+    R. Priam; M. Nadif &amp; G. Govaert.
-	  <I><B>The Block Generative Topographic Mapping</B></I>.
+    <I><B>The Block Generative Topographic Mapping</B></I>.
 	  The Third International Workshop on Artificial Neural Networks in Pattern Recognition, Lecture Notes in Artificial Intelligence (LNCS),&nbsp;
         Berlin Heidelberg,
@@ Ligne 512: / Ligne 1371: @@
 </pre></td>
 </tr>
-<tr id="priam_m08a" class="entry">
+<tr id="valdes_m08" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    D. Valdes-Lao; C. Declercc; A. Cicollela; A. Sasco; O. Blanchard; L. Mosqueron; A. Trugeon; P. Pepin; O. Guye; A. Sonko; J. Colonna, M. Caudeville; J.-B. Masson &amp; G. Govaert.
-        Rodolphe Priam; Mohamed Nadif &amp; G&eacute;rard Govaert.
+    <I><B>Approche spatiale des in&eacute;galit&eacute;s d'exposition environnementale et socio&eacute;conomiques. Quelle influence sur les in&eacute;galit&eacute;s de cancer ? Projet Cancer in&eacute;galit&eacute;s r&eacute;gionales, cantonales et environnement (CIRCE)</B></I>.
-	  <I><B>Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires</B></I>.
+	  Congr&eacute;s national des observatoires r&eacute;gionaux de la sant&eacute; "Les in&eacute;galit&eacute;s de sant&eacute;. Nouveaux savoirs, nouveaux enjeux politiques,&nbsp;
-	  Extraction et gestion des connaissances (EGC'2008), Actes des 8&egrave;mes journ&eacute;es Extraction et Gestion des Connaissances,&nbsp;
+        Marseille,
-        Sophia-Antipolis, France,,
+-17 octobre,
-janvier au 1er  f&eacute;vrier,
-        Revue des Nouvelles Technologies de l'Information,
-	  Pages 265-272,
-	  C&eacute;padu&egrave;s-&Eacute;ditions,
 .
-	  <a href="javascript:toggleInfo('priam_m08a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('valdes_m08','bibtex')">[BibTeX]</a>
@@ Ligne 537: / Ligne 1399: @@
       </td>
 </tr>
-<tr id="bib_priam_m08a" class="bibtex noshow">
+<tr id="bib_valdes_m08" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{priam_m08a,
+@inproceedings{valdes_m08,
-  author = {Rodolphe Priam and Mohamed Nadif and G{\'e}rard Govaert},
+  author = {Valdes-Lao, D. and Declercc, C. and Cicollela, A. and Sasco, A. and Blanchard, O. and Mosqueron, L. and Trugeon, A. and Pepin, P. and Guye, O. and Sonko,A. and Colonna, M. Caudeville, J. and Masson, J.-B. and Govaert, G.},
-  title = {Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires},
+  title = {Approche spatiale des in\'egalit\'es d'exposition environnementale et socio\'economiques. Quelle influence sur les in\'egalit\'es de cancer ? Projet Cancer in\'egalit\'es r\'egionales, cantonales et environnement (CIRCE)},
-  booktitle = {Extraction et gestion des connaissances (EGC'2008), Actes des 8{\`e}mes journ{\'e}es Extraction et Gestion des Connaissances},
+  booktitle = {Congr\'es national des observatoires r\'egionaux de la sant\'e "Les in\'egalit\'es de sant\'e. Nouveaux savoirs, nouveaux enjeux politiques},
-  address = {Sophia-Antipolis, France,},
+  address = {Marseille},
-  month = {29 janvier au 1er  f{\'e}vrier},
+  month = {16-17 octobre},
-  publisher = {C{\'e}padu{\`e}s-{\'E}ditions},
+  year = {2008}
-  year = {2008},
-  series = {Revue des Nouvelles Technologies de l'Information},
-  pages = {265-272}
 }
 </pre></td>
 </tr>
-<tr id="vandewalle_m08a" class="entry">
+<tr id="vandewalle_m08" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    V. Vandewalle; C. Biernacki; G. Celeux &amp; G. Govaert.
-        V. Vandewalle; C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Mod&eacute;les probabilistes pour la classification Semi-Supervis&eacute;e</B></I>.
-	  <I><B>Are unlabeled data useful in semi-supervised model-based classification? Combining hypothesis testing and model choice</B></I>.
+	  Proceedings of the First joint meeting of the Soci&eacute;t&eacute; Francophone de Classification and the Classification And Data Analysis Group of SISS,&nbsp;
-	  SFC - CLADAG 2008, First joint meeting of the Soci&eacute;t&eacute; Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society,&nbsp;
         Caserta, Italy,
-        June 11-13th,
+	  Pages 433-436,
 .
-	  <a href="javascript:toggleInfo('vandewalle_m08a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('vandewalle_m08','bibtex')">[BibTeX]</a>
@@ Ligne 579: / Ligne 1441: @@
       </td>
 </tr>
-<tr id="bib_vandewalle_m08a" class="bibtex noshow">
+<tr id="bib_vandewalle_m08" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{vandewalle_m08a,
+@inproceedings{vandewalle_m08,
-  author = {Vandewalle,  V. and Biernacki, C. and  Celeux, G. and  Govaert, G.},
+  author = {Vandewalle, V. and Biernacki, C. and Celeux, G. and Govaert, G.},
-  title = {Are unlabeled data useful in semi-supervised model-based classification? Combining hypothesis testing and model choice},
+  title = {Mod\'eles probabilistes pour la classification Semi-Supervis\'ee},
-  booktitle = {SFC - CLADAG 2008, First joint meeting of the Soci{\'e}t{\'e} Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society},
+  booktitle = {Proceedings of the First joint meeting of the Soci\'et\'e Francophone de Classification and the Classification And Data Analysis Group of SISS},
   address = {Caserta, Italy},
-  month = {June 11-13th},
+  year = {2008},
-  year = {2008}
+  pages = {433-436}
 }
 </pre></td>
 </tr>
-</tbody>
+<tr id="aupetit_m07" class="entry">
+    <td>
+    <h2>2007</h2> <br />
-  </table>
-    <h3>2007</h3>
-    <!--=======================================================================================================-->
-    <table id="qstable" border="0">
-<tbody><tr id="aupetit_m07" class="entry">
-	<td>
 <p class="infolinks">
+    M. Aupetit; P. Gaillard &amp; G. Govaert.
-        M. Aupetit; P. Gaillard &amp; G. Govaert.
+    <I><B>A generative Gaussian graph to learn the topology of a set of points</B></I>.
-	  <I><B>A generative Gaussian graph to learn the topology of a set of points</B></I>.
 	  Statistical workshop on "statistical approaches and validation in clustering: mixture models and nonparametric methods",&nbsp;
         Lisieux, France,
@@ Ligne 640: / Ligne 1497: @@
 </pre></td>
 </tr>
-<tr id="biernacki_m07b" class="entry">
+<tr id="celeux_m07a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert &amp; F. Lengrognet.
-	  <I><B>Le logiciel Mixmod d'analyse de m&eacute;lange pour la classification et l'analyse discriminante</B></I>.
-	  Revue MODULAD,&nbsp;
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Clustering mixture models : general aspects and model selection criteria, invited</B></I>.
+	  Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods,&nbsp;
+        Lisieux, France,
+        June 29,
-        Volume 35,
-	  Pages 25-44,
 .
-	  <a href="javascript:toggleInfo('biernacki_m07b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('celeux_m07a','bibtex')">[BibTeX]</a>
@@ Ligne 665: / Ligne 1525: @@
       </td>
 </tr>
-<tr id="bib_biernacki_m07b" class="bibtex noshow">
+<tr id="bib_celeux_m07a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{biernacki_m07b,
+@inproceedings{celeux_m07a,
-  author = {Biernacki, C. and Celeux, G. and Govaert, G. and Lengrognet, F.},
+  author = {Celeux, G. and Govaert, G.},
-  title = {Le logiciel Mixmod d'analyse de m{\'e}lange pour la classification et l'analyse discriminante},
+  title = {Clustering mixture models : general aspects and model selection criteria, invited},
-  journal = {Revue MODULAD},
+  booktitle = {Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods},
-  year = {2007},
+  address = {Lisieux, France},
-  volume = {35},
+  month = {June 29},
-  pages = {25-44}
+  year = {2007}
 }
 </pre></td>
 </tr>
 <tr id="celeux_m07b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux; C. Biernacki &amp; G. Govaert.
-	  <I><B>Predictive Clustering</B></I>.
+<p class="infolinks">
+    G. Celeux; C. Biernacki &amp; G. Govaert.
+    <I><B>Predictive Clustering</B></I>.
 	  Workshop on Model-Based Clustering,&nbsp;
         Dublin,
@@ Ligne 718: / Ligne 1581: @@
 </pre></td>
 </tr>
-<tr id="celeux_m07a" class="entry">
+<tr id="gaillard_m07a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Clustering mixture models : general aspects and model selection criteria, invited</B></I>.
-	  Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods,&nbsp;
+<p class="infolinks">
-        Lisieux, France,
-        June 29,
+    P. Gaillard; Aupetit M. &amp; G. Govaert.
+    <I><B>Apprentissage statistique de la topologie d'un ensemble de donn&eacute;es &eacute;tiquet&eacute;es</B></I>.
+	  Extraction et gestion des connaissances (EGC'2007), Actes des cinqui&egrave;mes journ&eacute;es Extraction et Gestion des Connaissances, Namur, Belgique, 23-26 janvier 2007, 2 Volumes,&nbsp;
+        Revue des Nouvelles Technologies de l'Information,
+	  Pages 455-460,
+	  C&eacute;padu&egrave;s-&Eacute;ditions,
 .
-	  <a href="javascript:toggleInfo('celeux_m07a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('gaillard_m07a','bibtex')">[BibTeX]</a>
@@ Ligne 743: / Ligne 1609: @@
       </td>
 </tr>
-<tr id="bib_celeux_m07a" class="bibtex noshow">
+<tr id="bib_gaillard_m07a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{celeux_m07a,
+@inproceedings{gaillard_m07a,
-  author = {Celeux, G. and Govaert, G.},
+  author = {Gaillard, P. and Aupetit M. and Govaert, G.},
-  title = {Clustering mixture models : general aspects and model selection criteria, invited},
+  title = {Apprentissage statistique de la topologie d'un ensemble de donn{\'e}es {\'e}tiquet{\'e}es},
-  booktitle = {Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods},
+  booktitle = {Extraction et gestion des connaissances (EGC'2007), Actes des cinqui{\`e}mes journ{\'e}es Extraction et Gestion des Connaissances, Namur, Belgique, 23-26 janvier 2007, 2 Volumes},
-  address = {Lisieux, France},
+  publisher = {C{\'e}padu{\`e}s-{\'E}ditions},
-  month = {June 29},
+  year = {2007},
-  year = {2007}
+  series = {Revue des Nouvelles Technologies de l'Information},
+  pages = {455-460}
 }
 </pre></td>
 </tr>
 <tr id="gaillard_m07b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        P. Gaillard; M. Aupetit &amp; G. Govaert.
-	  <I><B>Apprentissage statistique de la topologie d'un ensemble de donn&eacute;es &eacute;tiquet&eacute;es</B></I>.
+<p class="infolinks">
+    P. Gaillard; M. Aupetit &amp; G. Govaert.
+    <I><B>Learning topology of a labeled data set with the supervised generative gaussian graph</B></I>.
 	  ESANN2007, 15th European Symposium on Artificial Neural Networks,&nbsp;
         Bruges, Belgium,
@@ Ligne 788: / Ligne 1658: @@
 @inproceedings{gaillard_m07b,
   author = {Gaillard, P. and Aupetit, M. and Govaert, G.},
-  title = {Apprentissage statistique de la topologie d'un ensemble de donn{\'e}es {\'e}tiquet{\'e}es},
+  title = {Learning topology of a labeled data set with the supervised generative gaussian graph},
   booktitle = {ESANN2007, 15th European Symposium on Artificial Neural Networks},
   address = {Bruges, Belgium},
@@ Ligne 797: / Ligne 1667: @@
 </pre></td>
 </tr>
-<tr id="govaert_m07d" class="entry">
+<tr id="govaert_m07a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; G. Celeux.
-	  <I><B>Some specific aspects of clustering mixture models: block clustering and variable selection</B></I>.
-	  Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods,&nbsp;
+<p class="infolinks">
-        Lisieux, France,
-        June 29,
+    G. Govaert &amp; M. Nadif.
+    <I><B>Clustering of contingency table and mixture model</B></I>.
+	  European Journal of Operational Research,&nbsp;
+        Volume 183,
+	  Pages 1055-1066,
 .
+   	  [<a href="javascript:toggleInfo('govaert_m07a','abstract')">Abstract</a>]
-	  <a href="javascript:toggleInfo('govaert_m07d','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m07a','bibtex')">[BibTeX]</a>
@@ Ligne 822: / Ligne 1695: @@
       </td>
 </tr>
-<tr id="bib_govaert_m07d" class="bibtex noshow">
+<tr id="abs_govaert_m07a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Basing cluster analysis on mixture models has become a classical and powerful approach. It enables some classical criteria such as the well-known k-means criterion to be explained. To classify the rows or the columns of a contingency table, an adapted version of k-means known as Mndki2, which uses the chi-square distance, can be used. Unfortunately, this simple, effective method which can be used jointly with correspondence analysis based on the same representation of the data, cannot be associated with a mixture model in the same way as the classical k-means algorithm. In this paper<br>we show that the Mndki2 algorithm can be viewed as an approximation of a classifying version of the EM algorithm for a mixture of multinomial distributions. A comparison of the algorithms belonging in this context are experimentally investigated using Monte Carlo simulations.</td>
+</tr>
+<tr id="bib_govaert_m07a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m07d,
+@article{govaert_m07a,
-  author = {Govaert, G. and Celeux, G.},
+  author = {Govaert, G. and Nadif, M.},
-  title = {Some specific aspects of clustering mixture models: block clustering and variable selection},
+  title = {Clustering of contingency table and mixture model},
-  booktitle = {Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods},
+  journal = {European Journal of Operational Research},
-  address = {Lisieux, France},
+  year = {2007},
-  month = {June 29},
+  volume = {183},
-  year = {2007}
+  pages = {1055-1066}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m07a" class="entry">
+<tr id="govaert_m07b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Clustering of contingency table and mixture model</B></I>.
-	  European Journal of Operational Research,&nbsp;
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Latent Block Model for Contingency Table - Comparison of different Approaches</B></I>.
+th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007),&nbsp;
+        Chania, Crete, Greece,
+        May 29 - June 1,
-        Volume 183,
-	  Pages 1055-1066,
 .
-	  <a href="javascript:toggleInfo('govaert_m07a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m07b','bibtex')">[BibTeX]</a>
@@ Ligne 861: / Ligne 1740: @@
       </td>
 </tr>
-<tr id="bib_govaert_m07a" class="bibtex noshow">
+<tr id="bib_govaert_m07b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m07a,
+@inproceedings{govaert_m07b,
   author = {Govaert, G. and Nadif, M.},
-  title = {Clustering of contingency table and mixture model},
+  title = {Latent Block Model for Contingency Table - Comparison of different Approaches},
-  journal = {European Journal of Operational Research},
+  booktitle = {12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007)},
-  year = {2007},
+  address = {Chania, Crete, Greece},
-  volume = {183},
+  month = {May 29 - June 1},
-  pages = {1055-1066}
+  year = {2007}
 }
 </pre></td>
 </tr>
 <tr id="govaert_m07c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Selected Contributions in Data Analysis and Classification</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Selected Contributions in Data Analysis and Classification</B></I>.
 	  ,&nbsp;
         Berlin Heidelberg,
         August,
         Studies in Classification, Data Analysis, and Knowledge Organization,
-        Volume 2,
 	  Pages 203-212,
@@ Ligne 912: / Ligne 1794: @@
   year = {2007},
   series = {Studies in Classification, Data Analysis, and Knowledge Organization},
-  volume = {2},
   pages = {203-212}
 }
 </pre></td>
 </tr>
-<tr id="nadif_m07a" class="entry">
+<tr id="govaert_m07d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Latent Block Model for Contingency Table - Comparison of different Approaches</B></I>.
-th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007),&nbsp;
+<p class="infolinks">
-        Chania, Crete, Greece,
-        May 29 - June 1,
+    G. Govaert &amp; G. Celeux.
+    <I><B>Some specific aspects of clustering mixture models: block clustering and variable selection</B></I>.
+	  Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods,&nbsp;
+        Lisieux, France,
+        June 29,
@@ Ligne 935: / Ligne 1819: @@
-	  <a href="javascript:toggleInfo('nadif_m07a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m07d','bibtex')">[BibTeX]</a>
@@ Ligne 942: / Ligne 1826: @@
       </td>
 </tr>
-<tr id="bib_nadif_m07a" class="bibtex noshow">
+<tr id="bib_govaert_m07d" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{nadif_m07a,
+@inproceedings{govaert_m07d,
-  author = {Govaert, G. and Nadif, M.},
+  author = {Govaert, G. and Celeux, G.},
-  title = {Latent Block Model for Contingency Table - Comparison of different Approaches},
+  title = {Some specific aspects of clustering mixture models: block clustering and variable selection},
-  booktitle = {12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007)},
+  booktitle = {Workshop on statistical approaches and validation in clustering: mixture models and nonparametric methods},
-  address = {Chania, Crete, Greece},
+  address = {Lisieux, France},
-  month = {May 29 - June 1},
+  month = {June 29},
   year = {2007}
 }
 </pre></td>
 </tr>
-<tr id="nadif_m07b" class="entry">
+<tr id="kumar_07" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    M. Kumar &amp; N.R. Patel.
-        M. Nadif &amp; G. Govaert.
+    <I><B>Clustering data with measurement errors</B></I>.
-	  <I><B>Block clustering and statistical modelling</B></I>.
+	  Computational statistics &amp; data analysis,&nbsp;
-	  Symposium on mixture modeling,&nbsp;
-        Leuven, Belgium,
-        November 20-21,
+        Volume 51,
+        Number 12,
+	  Pages 6084-6101,
+	  Elsevier,
 .
-	  <a href="javascript:toggleInfo('nadif_m07b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('kumar_07','bibtex')">[BibTeX]</a>
@@ Ligne 981: / Ligne 1868: @@
       </td>
 </tr>
-<tr id="bib_nadif_m07b" class="bibtex noshow">
+<tr id="bib_kumar_07" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{nadif_m07b,
+@article{kumar_07,
-  author = {Nadif, M. and Govaert, G.},
+  author = {Kumar, M. and Patel, N.R.},
-  title = {Block clustering and statistical modelling},
+  title = {Clustering data with measurement errors},
-  booktitle = {Symposium on mixture modeling},
+  journal = {Computational statistics \& data analysis},
-  address = {Leuven, Belgium},
+  publisher = {Elsevier},
-  month = {November 20-21},
+  year = {2007},
-  year = {2007}
+  volume = {51},
+  number = {12},
+  pages = {6084--6101}
 }
 </pre></td>
 </tr>
-<tr id="same_m07b" class="entry">
+<tr id="nadif_m07a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Sam&eacute;; P. Aknin &amp; G. Govaert.
-	  <I><B>Classification automatique pour la segmentation de signaux unidimensionnels</B></I>.
-	  SFC 2007, XIVe Rencontre de la Soci&eacute;t&eacute; francophone de classification,&nbsp;
+<p class="infolinks">
-        Paris, France,
--7 Septembre,
+    M. Nadif &amp; G. Govaert.
+    <I><B>Block clustering and statistical modelling</B></I>.
+	  Symposium on mixture modeling,&nbsp;
+        Leuven, Belgium,
+        November 20-21,
@@ Ligne 1013: / Ligne 1905: @@
-	  <a href="javascript:toggleInfo('same_m07b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('nadif_m07a','bibtex')">[BibTeX]</a>
@@ Ligne 1020: / Ligne 1912: @@
       </td>
 </tr>
-<tr id="bib_same_m07b" class="bibtex noshow">
+<tr id="bib_nadif_m07a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{same_m07b,
+@inproceedings{nadif_m07a,
-  author = {Sam{\'e}, A. and Aknin, P. and Govaert, G.},
+  author = {Nadif, M. and Govaert, G.},
-  title = {Classification automatique pour la segmentation de signaux unidimensionnels},
+  title = {Block clustering and statistical modelling},
-  booktitle = {SFC 2007, XIVe Rencontre de la Soci\'et\'e francophone de classification},
+  booktitle = {Symposium on mixture modeling},
-  address = {Paris, France},
+  address = {Leuven, Belgium},
-  month = {5-7 Septembre},
+  month = {November 20-21},
   year = {2007}
 }
@@ Ligne 1035: / Ligne 1927: @@
 </tr>
 <tr id="same_m07a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Sam&eacute;; C. Ambroise &amp; G. Govaert.
-	  <I><B>An online Classification EM algorithm based on the mixture model</B></I>.
+<p class="infolinks">
+    A. Sam&eacute;; C. Ambroise &amp; G. Govaert.
+    <I><B>An online Classification EM algorithm based on the mixture model</B></I>.
 	  Statistics and Computing,&nbsp;
@@ Ligne 1050: / Ligne 1945: @@
 .
+   	  [<a href="javascript:toggleInfo('same_m07a','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('same_m07a','bibtex')">[BibTeX]</a>
@@ Ligne 1058: / Ligne 1953: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_same_m07a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Mixture-model-based clustering is widely used in many applications. In certain real-time applications the rapid increase of data size with time makes classical clustering algorithms too slow. An online clustering algorithm based on mixture models is presented in the context of a real-time flaw-diagnosis application for pressurized containers which uses data from acoustic emission signals. The proposed algorithm is a stochastic gradient algorithm derived from the classification version of the EM algorithm (CEM). It provides a model-based generalization of the well-known online k-means algorithm, able to handle non-spherical clusters. Using synthetic and real data sets, the proposed algorithm is compared with the batch CEM algorithm and the online EM algorithm. The three approaches generate comparable solutions in terms of the resulting partition when clusters are relatively well separated, but online algorithms become faster as the size of the available<br>observations increases.</td>
 </tr>
 <tr id="bib_same_m07a" class="bibtex noshow">
@@ Ligne 1075: / Ligne 1973: @@
 </pre></td>
 </tr>
-<tr id="tessier_m07" class="entry">
+<tr id="same_m07b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    A. Sam&eacute;; P. Aknin &amp; G. Govaert.
+    <I><B>Classification automatique pour la segmentation de signaux unidimensionnels</B></I>.
+	  SFC 2007, XIVe Rencontre de la Soci&eacute;t&eacute; francophone de classification,&nbsp;
+        Paris, France,
+-7 Septembre,
+.
+	  <a href="javascript:toggleInfo('same_m07b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_same_m07b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{same_m07b,
+  author = {Sam{\'e}, A. and Aknin, P. and Govaert, G.},
+  title = {Classification automatique pour la segmentation de signaux unidimensionnels},
+  booktitle = {SFC 2007, XIVe Rencontre de la Soci\'et\'e francophone de classification},
+  address = {Paris, France},
+  month = {5-7 Septembre},
+  year = {2007}
+}
+</pre></td>
+</tr>
+<tr id="tessier_m07" class="entry">
+    <td>
-        G. Tessier; M. Schoenauer; C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Parameter Setting for Evolutionary Latent Class Clustering</B></I>.
+<p class="infolinks">
+    G. Tessier; M. Schoenauer; C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Parameter Setting for Evolutionary Latent Class Clustering</B></I>.
 	  Advances in Computation and Intelligence, Lecture Notes in Computer Science (LNCS),&nbsp;
         Berlin Heidelberg,
@@ Ligne 1116: / Ligne 2059: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m06a" class="entry">
-  </table>
+    <td>
-    <!--=======================================================================================================-->
+    <h2>2006</h2> <br />
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2006</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="ambroise_m06a" class="entry">
-	<td>
-<p class="infolinks">
+<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
+    C. Ambroise &amp; G. Govaert.
-	  <I><B>Model based hierarchical co-clustering</B></I>.
+    <I><B>Model based hierarchical co-clustering</B></I>.
 	  COMPSTAT 2006,&nbsp;
         Rome, Italie,
@@ Ligne 1163: / Ligne 2102: @@
 </tr>
 <tr id="biernacki_m06a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
-	  <I><B>Model-based cluster and discriminant analysis with the MIXMOD software</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
+    <I><B>Model-based cluster and discriminant analysis with the MIXMOD software</B></I>.
 	  Computational Statistics and Data Analysis,&nbsp;
@@ Ligne 1178: / Ligne 2120: @@
 .
+   	  [<a href="javascript:toggleInfo('biernacki_m06a','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('biernacki_m06a','bibtex')">[BibTeX]</a>
@@ Ligne 1186: / Ligne 2128: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_biernacki_m06a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: The Mixture Modeling (MIXMOD) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic EM), and it is possible to combine these to yield different strategies for obtaining a sensible maximum for the likelihood (or complete-data likelihood) function. MIXMOD is currently intended to be used for multivariate Gaussian mixtures, and fourteen different Gaussian models can be distinguished according to different assumptions regarding the component variance matrix eigenvalue decomposition. Moreover, different information criteria for choosing a parsimonious model (the number of mixture components, for instance) are included, their suitability depending on the particular perspective (cluster analysis or discriminant analysis). Written in C++, MIXMOD is interfaced with SCILAB andMATLAB. The program, the statistical documentation and the user guide are available on the internet at the following address: http://www-math.univ-fcomte.fr/mixmod/index.php.</td>
 </tr>
 <tr id="bib_biernacki_m06a" class="bibtex noshow">
@@ Ligne 1201: / Ligne 2146: @@
 </pre></td>
 </tr>
-<tr id="gouget_m06a" class="entry">
+<tr id="biernacki_m06b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    C. Biernacki; G. Celeux; G. Govaert &amp; F. Lengrognet.
+    <I><B>Le logiciel Mixmod d'analyse de m&eacute;lange pour la classification et l'analyse discriminante</B></I>.
+	  Revue MODULAD,&nbsp;
+        Volume 35,
+	  Pages 25-44,
+.
+	  <a href="javascript:toggleInfo('biernacki_m06b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_biernacki_m06b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{biernacki_m06b,
+  author = {Biernacki, C. and Celeux, G. and Govaert, G. and Lengrognet, F.},
+  title = {Le logiciel Mixmod d'analyse de m{\'e}lange pour la classification et l'analyse discriminante},
+  journal = {Revue MODULAD},
+  year = {2006},
+  volume = {35},
+  pages = {25-44}
+}
+</pre></td>
+</tr>
+<tr id="gouget_m06a" class="entry">
+    <td>
+<p class="infolinks">
-        C. Gouget &amp; G. Govaert.
+    C. Gouget &amp; G. Govaert.
-	  <I><B>Classification automatique de donn&eacute;es ordinales- Utilisation de mod&egrave;les multinomiaux contraints</B></I>.
+    <I><B>Classification automatique de donn&eacute;es ordinales- Utilisation de mod&egrave;les multinomiaux contraints</B></I>.
 	  SFdS'2006, 38ieme journ&eacute;es de Statistiques,&nbsp;
         Clamart, France,
@@ Ligne 1240: / Ligne 2230: @@
 </pre></td>
 </tr>
-<tr id="govaert_m06c" class="entry">
+<tr id="govaert_m06a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert; R. Hahnle, R. &amp; M. Nadif.
-	  <I><B>Preface</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Fuzzy Clustering to estimate the parameters of block mixture models</B></I>.
 	  Soft Computing,&nbsp;
@@ Ligne 1253: / Ligne 2246: @@
         Volume 10,
         Number 5,
-	  Pages 405,
+	  Pages 415-422,
 .
+   	  [<a href="javascript:toggleInfo('govaert_m06a','abstract')">Abstract</a>]
-	  <a href="javascript:toggleInfo('govaert_m06c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m06a','bibtex')">[BibTeX]</a>
@@ Ligne 1265: / Ligne 2258: @@
       </td>
 </tr>
-<tr id="bib_govaert_m06c" class="bibtex noshow">
+<tr id="abs_govaert_m06a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: Finite mixture models are being increasingly used to provide model-based cluster analysis. To tackle the problem of block clustering which aims to organize the data into homogeneous blocks, recently we have proposed a block mixture model; we have considered this model under the classification maximum likelihood approach and we have developed a new algorithm for simultaneous partitioning based on the Classification EM algorithm. From the estimation point of view, classification maximum likelihood approach yields inconsistent estimates of the parameters and in this paper we consider the block clustering problem under the maximum likelihood approach; unfortunately, the application of the classical EM algorithm for the block mixture model is not direct : difficulties arise due to the dependence structure in the model and approximations are required. Considering the block clustering problem under a fuzzy approach, we propose a fuzzy block clustering algorithm to approximate the EM algorithm. To illustrate our approach, we study the case of binary data by using a Bernoulli block mixture.</td>
+</tr>
+<tr id="bib_govaert_m06a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m06c,
+@article{govaert_m06a,
-  author = {Govaert, G. and Hahnle, R. and Nadif, M.},
+  author = {Govaert, G. and Nadif, M.},
-  title = {Preface},
+  title = {Fuzzy Clustering to estimate the parameters of block mixture models},
   month = {march},
   journal = {Soft Computing},
@@ Ligne 1277: / Ligne 2273: @@
   volume = {10},
   number = {5},
-  pages = {405}
+  pages = {415-422}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m06a" class="entry">
+<tr id="govaert_m06b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Classification crois&eacute;e d'un tableau de contingence et mod&egrave;le probabiliste</B></I>.
+	  RNTI-E-6, Revue des Nouvelles Technologies de l'Information,&nbsp;
+        Volume 2,
+	  Pages 457-462,
+.
+	  <a href="javascript:toggleInfo('govaert_m06b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m06b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{govaert_m06b,
+  author = {Govaert, G. and Nadif, M.},
+  title = {Classification crois{\'e}e d'un tableau de contingence et mod{\`e}le probabiliste},
+  journal = {RNTI-E-6, Revue des Nouvelles Technologies de l'Information},
+  year = {2006},
+  volume = {2},
+  pages = {457-462}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m06c" class="entry">
+    <td>
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Fuzzy Clustering to estimate the parameters of block mixture models</B></I>.
+<p class="infolinks">
+    G. Govaert; R. Hahnle &amp; M. Nadif.
+    <I><B>Preface</B></I>.
 	  Soft Computing,&nbsp;
@@ Ligne 1294: / Ligne 2335: @@
         Volume 10,
         Number 5,
-	  Pages 415-422,
+	  Pages 405,
 .
-	  <a href="javascript:toggleInfo('govaert_m06a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m06c','bibtex')">[BibTeX]</a>
@@ Ligne 1306: / Ligne 2347: @@
       </td>
 </tr>
-<tr id="bib_govaert_m06a" class="bibtex noshow">
+<tr id="bib_govaert_m06c" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m06a,
+@article{govaert_m06c,
-  author = {Govaert, G. and Nadif, M.},
+  author = {Govaert, G. and Hahnle, R. and Nadif, M.},
-  title = {Fuzzy Clustering to estimate the parameters of block mixture models},
+  title = {Preface},
   month = {march},
   journal = {Soft Computing},
@@ Ligne 1318: / Ligne 2359: @@
   volume = {10},
   number = {5},
-  pages = {415-422}
+  pages = {405}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m06b" class="entry">
+<tr id="govaert_m06d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Classification crois&eacute;e d'un tableau de contingence et mod&egrave;le probabiliste</B></I>.
-	  RNTI-E-6, Revue des Nouvelles Technologies de l'Information,&nbsp;
+<p class="infolinks">
+    G. Govaert &amp; G. Celeux.
+    <I><B>Le mod&egrave;le des m&eacute;langes, les principales caract&eacute;ristiques de MIXMOD</B></I>.
+	  Journ&eacute;es MIXMOD,&nbsp;
+        Paris,
+        October 24,
-        Volume 2,
-	  Pages 457-462,
 .
-	  <a href="javascript:toggleInfo('govaert_m06b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m06d','bibtex')">[BibTeX]</a>
@@ Ligne 1347: / Ligne 2391: @@
       </td>
 </tr>
-<tr id="bib_govaert_m06b" class="bibtex noshow">
+<tr id="bib_govaert_m06d" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m06b,
+@inproceedings{govaert_m06d,
-  author = {Govaert, G. and Nadif, M.},
+  author = {Govaert, G. and Celeux, G.},
-  title = {Classification crois{\'e}e d'un tableau de contingence et mod{\`e}le probabiliste},
+  title = {Le mod\`ele des m\'elanges, les principales caract\'eristiques de MIXMOD},
-  journal = {RNTI-E-6, Revue des Nouvelles Technologies de l'Information},
+  booktitle = {Journ\'ees MIXMOD},
-  year = {2006},
+  address = {Paris},
-  volume = {2},
+  month = {October 24},
-  pages = {457-462}
+  year = {2006}
 }
 </pre></td>
 </tr>
 <tr id="hamdan_m06a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>Mixture model approach for acoustic emission control of cylindrical pressure vessels</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>Mixture model approach for acoustic emission control of cylindrical pressure vessels</B></I>.
 	  Journal of Pressure Vessel Technology,&nbsp;
@@ Ligne 1377: / Ligne 2424: @@
 .
+   	  [<a href="javascript:toggleInfo('hamdan_m06a','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('hamdan_m06a','bibtex')">[BibTeX]</a>
@@ Ligne 1385: / Ligne 2432: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_hamdan_m06a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: In this paper, we present a new and original mixture model approach for acoustic emission (AE) data clustering. AE techniques have been used in a variety of applications in industrial plants. These techniques can provide the most sophisticated monitoring test and can generally be done with the plant/pressure equipment operating at several conditions. Since the AE clusters may present several constraints (different proportions, volumes, orientations, and shapes), we propose to base the AE cluster analysis on Gaussian mixture models, which will be, in such situations, a powerful approach. Furthermore, the diagonal Gaussian mixture model seems to be well adapted to the detection and monitoring of defect classes since the weldings of cylindrical pressure equipment are lengthened horizontally and vertically (cluster shapes lengthened along the axes). The EM (Expectation-Maximization) algorithm applied to a diagonal Gaussian mixture model provides a satisfactory solution but the real time constraints imposed in our problem make the application of this algorithm impossible if the number of points becomes too big. The solution that we propose is to use the CEM (Classification Expectation-Maximization) algorithm, which converges faster and generates comparable solutions in terms of resulting partition. The practical results on real data are very satisfactory from the experts point of view.</td>
 </tr>
 <tr id="bib_hamdan_m06a" class="bibtex noshow">
@@ Ligne 1402: / Ligne 2452: @@
 </tr>
 <tr id="nadif_m06a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; Govaert.
-	  <I><B>Block clustering with mixture model on large contingency tables</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Dimension reduction via block clustering</B></I>.
 st European Conference on Operational Research,&nbsp;
-        Reykjavik, Iceland,
+        Reykjavik, Island,
         July 2-5,
@@ Ligne 1431: / Ligne 2484: @@
 <pre>
 @inproceedings{nadif_m06a,
-  author = {Nadif, M. and Govaert},
+  author = {Nadif, M. and Govaert, G.},
-  title = {Block clustering with mixture model on large contingency tables},
+  title = {Dimension reduction via block clustering},
   booktitle = {21st European Conference on Operational Research},
-  address = {Reykjavik, Iceland},
+  address = {Reykjavik, Island},
   month = {July 2-5},
   year = {2006}
@@ Ligne 1441: / Ligne 2494: @@
 </tr>
 <tr id="nadif_m06b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Block clustering with mixture model on large contingency tables</B></I>.
-	  IFCS 2006 Conference: Data Science and Classification,&nbsp;
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>A review on Block clustering under the mixture approach</B></I>.
+th conference of the International Federation of Classification Societies (IFCS),&nbsp;
         Ljubljana, Slovenia,
         July 25-29,
@@ Ligne 1471: / Ligne 2527: @@
 @inproceedings{nadif_m06b,
   author = {Nadif, M. and Govaert, G.},
-  title = {Block clustering with mixture model on large contingency tables},
+  title = {A review on Block clustering under the mixture approach},
-  booktitle = {IFCS 2006 Conference: Data Science and Classification},
+  booktitle = {10th conference of the International Federation of Classification Societies (IFCS)},
   address = {Ljubljana, Slovenia},
   month = {July 25-29},
@@ Ligne 1480: / Ligne 2536: @@
 </tr>
 <tr id="same_m06a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Sam&eacute;; C. Ambroise &amp; G. Govaert.
-	  <I><B>A Classification EM Algorithm for Binned Data</B></I>.
+<p class="infolinks">
+    A. Sam&eacute;; C. Ambroise &amp; G. Govaert.
+    <I><B>A Classification EM Algorithm for Binned Data</B></I>.
 	  Computational Statistics and Data Analysis,&nbsp;
@@ Ligne 1495: / Ligne 2554: @@
 .
+   	  [<a href="javascript:toggleInfo('same_m06a','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('same_m06a','bibtex')">[BibTeX]</a>
@@ Ligne 1503: / Ligne 2562: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_same_m06a" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: A real-time flaw diagnosis application for pressurized containers using acoustic emissions is described. The pressurized containers used are cylindrical tanks containing fluids under pressure. The surface of the pressurized containers is divided into bins, and the number of acoustic signals emanating from each bin is counted. Spatial clustering of high density bins using mixture models is used to detect flaws. A dedicated EM algorithm can be derived to select the mixture parameters, but this is a greedy algorithm since it requires the numerical computation of integrals and may converge only slowly. To deal with this problem, a classification version of theEM(CEM) algorithm is defined, and using synthetic and real data sets, the proposed algorithm is compared to the CEM algorithm applied to classical data. The two approaches generate comparable solutions in terms of the resulting partition if the histogram is sufficiently accurate, but the algorithm designed for binned data becomes faster when the number of available observations is large enough.</td>
 </tr>
 <tr id="bib_same_m06a" class="bibtex noshow">
@@ Ligne 1519: / Ligne 2581: @@
 </tr>
 <tr id="tessier_m06" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        D. Tessier; M. Schoenauer; C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Evolutionary Latent Class Clustering of Qualitative Data</B></I>.
+<p class="infolinks">
+    D. Tessier; M. Schoenauer; C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Evolutionary Latent Class Clustering of Qualitative Data</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 1548: / Ligne 2613: @@
 <pre>
 @techreport{tessier_m06,
-  author = {Tessier, D. and Sch\oe nauer, M. and Biernacki, C. and Celeux, G. and Govaert, G.},
+  author = {Tessier, D. and Schoenauer, M. and Biernacki, C. and Celeux, G. and Govaert, G.},
   title = {Evolutionary Latent Class Clustering of Qualitative Data},
   address = {Le Chesnay, France},
@@ Ligne 1557: / Ligne 2622: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="biernacki_m05a" class="entry">
-  </table>
+    <td>
-    <!--=======================================================================================================-->
+    <h2>2005</h2> <br />
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2005</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="biernacki_m05b" class="entry">
-	<td>
 <p class="infolinks">
+    C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
-        C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>MIXMOD: a Software for Model-Based Clustering and Classification with Continuous and Categorical Data</B></I>.
-	  <I><B>Parsimonious Latent Class Models</B></I>.
+	  SFdS'2005, 37ieme journ&eacute;es de Statistiques,&nbsp;
-rd International Association for Statistical Computing (IASC) world conference on Computational Statistics &amp; Data Analysis,&nbsp;
+        Pau, France,
-        Limassol, Cyprus,
+-28 Mai,
--31 October,
@@ Ligne 1584: / Ligne 2643: @@
-	  <a href="javascript:toggleInfo('biernacki_m05b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('biernacki_m05a','bibtex')">[BibTeX]</a>
@@ Ligne 1591: / Ligne 2650: @@
       </td>
 </tr>
-<tr id="bib_biernacki_m05b" class="bibtex noshow">
+<tr id="bib_biernacki_m05a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{biernacki_m05b,
+@inproceedings{biernacki_m05a,
-  author = {Biernacki, C. and Celeux, G. and Govaert, G.},
+  author = {Biernacki, C. and Celeux, G. and Govaert, G. and Langrognet, F.},
-  title = {Parsimonious Latent Class Models},
+  title = {{MIXMOD}: a Software for Model-Based Clustering and Classification with Continuous and Categorical Data},
-  booktitle = {3rd International Association for Statistical Computing (IASC) world conference on Computational Statistics \& Data Analysis},
+  booktitle = {SFdS'2005, 37\ieme journ{\'e}es de Statistiques},
-  address = {Limassol, Cyprus},
+  address = {Pau, France},
-  month = {28-31 October},
+  month = {24-28 Mai},
   year = {2005}
 }
 </pre></td>
 </tr>
-<tr id="biernacki_m05a" class="entry">
+<tr id="biernacki_m05b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert &amp; F. Langrognet.
-	  <I><B>MIXMOD: a Software for Model-Based Clustering and Classification with Continuous and Categorical Data</B></I>.
-	  SFdS'2005, 37ieme journ&eacute;es de Statistiques,&nbsp;
+<p class="infolinks">
-        Pau, France,
--28 Mai,
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Parsimonious Latent Class Models</B></I>.
+rd International Association for Statistical Computing (IASC) world conference on Computational Statistics &amp; Data Analysis,&nbsp;
+        Limassol, Cyprus,
+-31 October,
@@ Ligne 1623: / Ligne 2685: @@
-	  <a href="javascript:toggleInfo('biernacki_m05a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('biernacki_m05b','bibtex')">[BibTeX]</a>
@@ Ligne 1630: / Ligne 2692: @@
       </td>
 </tr>
-<tr id="bib_biernacki_m05a" class="bibtex noshow">
+<tr id="bib_biernacki_m05b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{biernacki_m05a,
+@inproceedings{biernacki_m05b,
-  author = {Biernacki, C. and Celeux, G. and Govaert, G. and Langrognet, F.},
+  author = {Biernacki, C. and Celeux, G. and Govaert, G.},
-  title = {{MIXMOD}: a Software for Model-Based Clustering and Classification with Continuous and Categorical Data},
+  title = {Parsimonious Latent Class Models},
-  booktitle = {SFdS'2005, 37\ieme journ{\'e}es de Statistiques},
+  booktitle = {3rd International Association for Statistical Computing (IASC) world conference on Computational Statistics \& Data Analysis},
-  address = {Pau, France},
+  address = {Limassol, Cyprus},
-  month = {24-28 Mai},
+  month = {28-31 October},
   year = {2005}
 }
@@ Ligne 1645: / Ligne 2707: @@
 </tr>
 <tr id="biernacki_m05c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert &amp; F. Lengrognet.
-	  <I><B>Model-based Cluster and Discriminant Analysis with the Mixmod Software</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux; G. Govaert &amp; F. Lengrognet.
+    <I><B>Model-based Cluster and Discriminant Analysis with the Mixmod Software</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 1684: / Ligne 2749: @@
 </tr>
 <tr id="gouget_m05a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Gouget &amp; G. Govaert.
-	  <I><B>Classification automatique de donn&eacute;es ordinales et mod&egrave;le de m&eacute;lange</B></I>.
+<p class="infolinks">
+    C. Gouget &amp; G. Govaert.
+    <I><B>Classification automatique de donn&eacute;es ordinales et mod&egrave;le de m&eacute;lange</B></I>.
 	  SFdS'2005, 37ieme journ&eacute;es de Statistiques,&nbsp;
         Pau, France,
@@ Ligne 1723: / Ligne 2791: @@
 </tr>
 <tr id="govaert_m05a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Classification d'un tableau de contingence et mod&egrave;le probabiliste</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Classification d'un tableau de contingence et mod&egrave;le probabiliste</B></I>.
 	  RNTI-E-3, Revue des Nouvelles Technologies de l'Information,&nbsp;
@@ Ligne 1762: / Ligne 2833: @@
 </tr>
 <tr id="govaert_m05b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>An EM algorithm for the Block Mixture Model</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>An EM algorithm for the Block Mixture Model</B></I>.
 	  IEEE Transactions on Pattern Analysis and Machine Intelligence,&nbsp;
@@ Ligne 1803: / Ligne 2877: @@
 </tr>
 <tr id="govaert_m05e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Clustering of contingency table with Poisson block mixture model</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Clustering of contingency table with Poisson block mixture model</B></I>.
 	  Classification and Data Analysis 2005 : Meeting of the Classification and Data Analysis Group of the Italian Statistical Society,&nbsp;
         Parme,
@@ Ligne 1844: / Ligne 2921: @@
 </tr>
 <tr id="hamdan_m05a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>WST mixture model strategy for pressure vessel control using acoustic emission</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>WST mixture model strategy for pressure vessel control using acoustic emission</B></I>.
 	  Annals of the University of Craiova, Series: automation, computers, electronics and mechatronic,&nbsp;
@@ Ligne 1884: / Ligne 2964: @@
 </tr>
 <tr id="hamdan_m05b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>Mixture model clustering of uncertain data</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>Mixture model clustering of uncertain data</B></I>.
 	  IEEE International Conference on Fuzzy Systems,&nbsp;
         Reno, Nevada, USA,
@@ Ligne 1899: / Ligne 2982: @@
 .
+   	  [<a href="javascript:toggleInfo('hamdan_m05b','abstract')">Abstract</a>]
 	  <a href="javascript:toggleInfo('hamdan_m05b','bibtex')">[BibTeX]</a>
@@ Ligne 1907: / Ligne 2990: @@
 	  </p>
       </td>
+</tr>
+<tr id="abs_hamdan_m05b" class="abstract noshow">
+	<td colspan="6"><b>Abstract</b>: This paper addresses the problem of fitting mixture densities to uncertain data using the EM algorithm. Uncertain data are modelled by multivariate uncertainty zones which constitute a generalization of multivariate interval-valued data. We develop an EM algorithm to treat uncertainty zones around points of Ropfp in order to estimate the parameters of a mixture model defined on Ropfp and obtain a fuzzy clustering or partition. This EM algorithm requires the evaluation of multidimensional integrals over each uncertainty zone at each iteration. In the diagonal Gaussian mixture model case, these integrals can be computed by simply using the one-dimensional normal cumulative distribution function. Results on simulated data indicate that the proposed algorithm can estimate the true underlying density better than the classical EM algorithm applied to the imprecise data, especially when the imprecision degree is high</td>
 </tr>
 <tr id="bib_hamdan_m05b" class="bibtex noshow">
@@ Ligne 1924: / Ligne 3010: @@
 </tr>
 <tr id="nadif_m05a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Block clustering via the block GEM and two-way EM algorithms</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Block clustering via the block GEM and two-way EM algorithms</B></I>.
 	  The third ACS/IEEE International conference on Computer Systems and Applications, (in CD ISBN 0-7803-8735-X),&nbsp;
         Cairo, Egypt,
@@ Ligne 1963: / Ligne 3052: @@
 </tr>
 <tr id="nadif_m05b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Block clustering with mixture model : Comparison between different approaches</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Block clustering with mixture model : Comparison between different approaches</B></I>.
 	  AMSDA 2005 : International Symposium on Applied Stochastic Models and Data Analysis,&nbsp;
         Brest,
@@ Ligne 2002: / Ligne 3094: @@
 </tr>
 <tr id="nadif_m05c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Block clustering of contingency table and Mixture Model</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Block clustering of contingency table and Mixture Model</B></I>.
 	  Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS),&nbsp;
         Berlin Heidelberg,
@@ Ligne 2044: / Ligne 3139: @@
 </tr>
 <tr id="nadif_m05d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>A Comparison Between Block CEM and Two-Way CEM Algorithm to Cluster a contingency table</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>A Comparison Between Block CEM and Two-Way CEM Algorithm to Cluster a contingency table</B></I>.
 	  Knowledge Discovery in Databases, Lecture Notes on Artificial Intelligence (LNAI),&nbsp;
         Berlin Heidelberg,
@@ Ligne 2086: / Ligne 3184: @@
 </tr>
 <tr id="nadif_m05e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>An EM algorithm for the Block Mixture Model of contingency table</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>An EM algorithm for the Block Mixture Model of contingency table</B></I>.
 rd International Association for Statistical Computing (IASC) world conference on Computational Statistics &amp; Data Analysis,&nbsp;
         Limassol, Cyprus,
@@ Ligne 2125: / Ligne 3226: @@
 </tr>
 <tr id="same_05b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Same; G. Govaert &amp; C. Ambroise.
-	  <I><B>A mixture model-based on-line CEM algorithm</B></I>.
+<p class="infolinks">
+    A. Same; G. Govaert &amp; C. Ambroise.
+    <I><B>A mixture model-based on-line CEM algorithm</B></I>.
 	  Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS),&nbsp;
         Berlin Heidelberg,
@@ Ligne 2167: / Ligne 3271: @@
 </tr>
 <tr id="sujka_m05a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        N. Sujka; G. Govaert &amp; C. Ambroise.
-	  <I><B>Interpretable Clustering via Model-Based Divisive Hierarchical Classification</B></I>.
+<p class="infolinks">
+    N. Sujka; G. Govaert &amp; C. Ambroise.
+    <I><B>Interpretable Clustering via Model-Based Divisive Hierarchical Classification</B></I>.
 th Annual GFKL (Gesellschaft f&uuml;r Klassifikation),&nbsp;
         University of Magdeburg, Germany,
@@ Ligne 2205: / Ligne 3312: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="govaert_m04a" class="entry">
-</table>
+    <td>
+    <h2>2004</h2> <br />
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2004</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="govaert_m04a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert.
+    <I><B>Classification et mod&egrave;le de m&eacute;lange (conf&eacute;rence invit&eacute;e)</B></I>.
-	  <I><B>Classification et mod&egrave;le de m&eacute;lange (conf&eacute;rence invit&eacute;e)</B></I>.
 	  RFIA 2004, 14&egrave;me Congr&eacute;s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, Worshop Analyse de donn&eacute;es, Statistique et Apprentissage pour la Fouille d'Images,&nbsp;
         Toulouse,
@@ Ligne 2248: / Ligne 3345: @@
 <pre>
 @inproceedings{govaert_m04a,
-  author = {Govaert, G. },
+  author = {Govaert, G.},
   title = {Classification et mod{\`e}le de m{\'e}lange (conf{\'e}rence invit{\'e}e)},
   booktitle = {RFIA 2004, 14{\`e}me Congr{\'e}s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, Worshop Analyse de donn{\'e}es, Statistique et Apprentissage pour la Fouille d'Images},
@@ Ligne 2258: / Ligne 3355: @@
 </tr>
 <tr id="hamdan_m04a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>The fitting of binned data clustering to imprecise data</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>The fitting of binned data clustering to imprecise data</B></I>.
 	  IEEE International conference on Information &amp; Communication Technologies: from Theory to Applications,&nbsp;
         Damascus, Syria,
@@ Ligne 2298: / Ligne 3398: @@
 </tr>
 <tr id="hamdan_m04b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>CEM algorithm for imprecise data. Application to flaw diagnostic using acoustic emission</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>CEM algorithm for imprecise data. Application to flaw diagnostic using acoustic emission</B></I>.
 	  IEEE International conference on Systems, Man and Cybernetics,&nbsp;
         The Hague, The Netherlands,
@@ Ligne 2338: / Ligne 3441: @@
 </pre></td>
 </tr>
-<tr id="hamdan_m04d" class="entry">
+<tr id="hamdan_m04c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>Int-EM-CEM algorithm for imprecise data. Comparison with the CEM algorithm using Monte Carlo simulations</B></I>.
-	  IEEE International conference on Cybernetics and Intelligent Systems,&nbsp;
+<p class="infolinks">
-        Singapore,
--3 december,
+    H. Hamdan; G. Govaert; C. Ambroise &amp; C. Herv&eacute;.
+    <I><B>A mixture modele approach for acoustic emission control of pressure equipment</B></I>.
+th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic techniques,&nbsp;
+        Senlis, France,
+ - 13 october,
-	  Pages 410-415,
 .
-	  <a href="javascript:toggleInfo('hamdan_m04d','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('hamdan_m04c','bibtex')">[BibTeX]</a>
@@ Ligne 2363: / Ligne 3469: @@
       </td>
 </tr>
-<tr id="bib_hamdan_m04d" class="bibtex noshow">
+<tr id="bib_hamdan_m04c" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{hamdan_m04d,
+@inproceedings{hamdan_m04c,
-  author = {Hamdan, H. and Govaert, G.},
+  author = {Hamdan, H. and Govaert, G. and Ambroise, C. and Herv{\'e}, C.},
-  title = {Int-{EM}-{CEM} algorithm for imprecise data. Comparison with the {CEM} algorithm using Monte Carlo simulations},
+  title = {A mixture modele approach for acoustic emission control of pressure equipment},
-  booktitle = {IEEE International conference on Cybernetics and Intelligent Systems},
+  booktitle = {5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic techniques},
-  address = {Singapore},
+  address = {Senlis, France},
-  month = {1-3 december},
+  month = {11 - 13 october},
-  year = {2004},
+  year = {2004}
-  pages = {410-415}
 }
 </pre></td>
 </tr>
-<tr id="hamdan_m04c" class="entry">
+<tr id="hamdan_m04d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan; G. Govaert; C. Ambroise &amp; C. Herv&eacute;.
-	  <I><B>A mixture modele approach for acoustic emission control of pressure equipment</B></I>.
-th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic techniques,&nbsp;
+<p class="infolinks">
-        Senlis, France,
- - 13 october,
+    H. Hamdan &amp; G. Govaert.
+    <I><B>Int-EM-CEM algorithm for imprecise data. Comparison with the CEM algorithm using Monte Carlo simulations</B></I>.
+	  IEEE International conference on Cybernetics and Intelligent Systems,&nbsp;
+        Singapore,
+-3 december,
+	  Pages 410-415,
 .
-	  <a href="javascript:toggleInfo('hamdan_m04c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('hamdan_m04d','bibtex')">[BibTeX]</a>
@@ Ligne 2403: / Ligne 3511: @@
       </td>
 </tr>
-<tr id="bib_hamdan_m04c" class="bibtex noshow">
+<tr id="bib_hamdan_m04d" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{hamdan_m04c,
+@inproceedings{hamdan_m04d,
-  author = {Hamdan, H. and Govaert, G. and Ambroise, C. and Herv{\'e}, C.},
+  author = {Hamdan, H. and Govaert, G.},
-  title = {A mixture modele approach for acoustic emission control of pressure equipment},
+  title = {Int-{EM}-{CEM} algorithm for imprecise data. Comparison with the {CEM} algorithm using Monte Carlo simulations},
-  booktitle = {5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic techniques},
+  booktitle = {IEEE International conference on Cybernetics and Intelligent Systems},
-  address = {Senlis, France},
+  address = {Singapore},
-  month = {11 - 13 october},
+  month = {1-3 december},
-  year = {2004}
+  year = {2004},
+  pages = {410-415}
 }
 </pre></td>
 </tr>
 <tr id="nadif_m04a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Another version of the Block EM algorithm</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Another version of the Block EM algorithm</B></I>.
 th Conference of the International Federation of Classification (Chicago, USA 15-18 July): Classification, Clustering, and Data Mining Applications,&nbsp;
         Berlin,
@@ Ligne 2459: / Ligne 3571: @@
 </tr>
 <tr id="nadif_m04b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif; F.-X. Jollois &amp; G. Govaert.
-	  <I><B>Block Clustering for large continuous data sets</B></I>.
+<p class="infolinks">
+    M. Nadif; F.-X. Jollois &amp; G. Govaert.
+    <I><B>Block Clustering for large continuous data sets</B></I>.
 	  AISTA'2004, International Conference on Advances in Intelligent Systems - Theory and Applications in cooperation with IEEE Computer Society, (in CD ISBN 2-9599776-8-8),&nbsp;
         Luxembourg,
@@ Ligne 2498: / Ligne 3613: @@
 </tr>
 <tr id="same_m04a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Same; C. Ambroise &amp; G. Govaert.
-	  <I><B>Classification automatique de donn&eacute;es s&eacute;quentielles et mod&egrave;le de m&eacute;lange</B></I>.
+<p class="infolinks">
+    A. Same; C. Ambroise &amp; G. Govaert.
+    <I><B>Classification automatique de donn&eacute;es s&eacute;quentielles et mod&egrave;le de m&eacute;lange</B></I>.
 	  SFdS'2004, 36ieme journ&eacute;es de Statistiques,&nbsp;
         Montpellier, France,
@@ Ligne 2537: / Ligne 3655: @@
 </tr>
 <tr id="same_m04b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Same; C. Ambroise &amp; G. Govaert.
-	  <I><B>A mixture model approach for on-line clustering</B></I>.
+<p class="infolinks">
+    A. Same; C. Ambroise &amp; G. Govaert.
+    <I><B>A mixture model approach for on-line clustering</B></I>.
 	  Compstat 2004, Prodeedings of the 16th Computational Statistics symposium,&nbsp;
@@ Ligne 2576: / Ligne 3697: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="biernacki_m03a" class="entry">
-</table>
+    <td>
-    <!--=======================================================================================================-->
+    <h2>2003</h2> <br />
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2003</h3>
-    <table id="qstable" border="0">
- <tbody><tr id="biernacki_m03a" class="entry">
-	<td>
-<p class="infolinks">
+<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
+    C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models</B></I>.
+    <I><B>Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models</B></I>.
 	  Computational Statistics and Data Analysis,&nbsp;
@@ Ligne 2618: / Ligne 3730: @@
 <pre>
 @article{biernacki_m03a,
-  author = {Biernacki, C. and Celeux, G. and Govaert, G. },
+  author = {Biernacki, C. and Celeux, G. and Govaert, G.},
   title = {Choosing starting values for the {EM} algorithm for getting the highest likelihood in multivariate Gaussian mixture models},
   month = {January},
@@ Ligne 2629: / Ligne 3741: @@
 </tr>
 <tr id="biernacki_m03b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux; G. Govaert; F. Langrognet; G. Moulin &amp; Y. Vernaz.
-	  <I><B>MIXMOD : un logiciel pour les mod&egrave;les de m&eacute;lange en classification et en analyse discriminante</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux; G. Govaert; F. Langrognet; G. Moulin &amp; Y. Vernaz.
+    <I><B>MIXMOD : un logiciel pour les mod&egrave;les de m&eacute;lange en classification et en analyse discriminante</B></I>.
 	  SFdS'2003, XXXVieme journ&eacute;es de Statistiques,&nbsp;
         Lyon, France,
@@ Ligne 2667: / Ligne 3782: @@
 </pre></td>
 </tr>
-<tr id="govaert_m03b" class="entry">
+<tr id="govaert_m03a" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Clustering with block mixture models</B></I>.
+	  Pattern Recognition,&nbsp;
+        Volume 36,
+	  Pages 463-473,
+.
+	  <a href="javascript:toggleInfo('govaert_m03a','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m03a" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{govaert_m03a,
+  author = {Govaert, G. and Nadif, M.},
+  title = {Clustering with block mixture models},
+  journal = {Pattern Recognition},
+  year = {2003},
+  volume = {36},
+  pages = {463-473}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m03b" class="entry">
+    <td>
+<p class="infolinks">
-        G. Govaert.
+    G. Govaert.
-	  <I><B>Classification et mod&egrave;le de m&eacute;lange</B></I>.
+    <I><B>Classification et mod&egrave;le de m&eacute;lange</B></I>.
 	  Analyse de donn&eacute;es,&nbsp;
         Paris,
@@ Ligne 2707: / Ligne 3867: @@
 </pre></td>
 </tr>
-<tr id="govaert_m03d" class="entry">
+<tr id="govaert_m03c" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Un algorithme EM pour le mod&egrave;le de m&eacute;lange crois&eacute; (conf&eacute;rence invit&eacute;e)</B></I>.
+	  SFdS'2003, 35ieme journ&eacute;es de Statistiques,&nbsp;
+        Lyon, France,
+-6 Juin,
+.
+	  <a href="javascript:toggleInfo('govaert_m03c','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m03c" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m03c,
+  author = {Govaert, G. and Nadif, M.},
+  title = {Un algorithme {EM} pour le mod{\`e}le de m{\'e}lange crois{\'e} (conf{\'e}rence invit{\'e}e)},
+  booktitle = {SFdS'2003, 35\ieme journ{\'e}es de Statistiques},
+  address = {Lyon, France},
+  month = {2-6 Juin},
+  year = {2003}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m03d" class="entry">
+    <td>
+<p class="infolinks">
-        G. Govaert.
+    G. Govaert.
-	  <I><B>Classification partiellement supervis&eacute;e (conf&eacute;rence invit&eacute;e)</B></I>.
+    <I><B>Classification partiellement supervis&eacute;e (conf&eacute;rence invit&eacute;e)</B></I>.
 	  Journ&eacute;e IS2 sur l'apprentissage statistique,&nbsp;
         Grenoble, France,
@@ Ligne 2747: / Ligne 3952: @@
 </tr>
 <tr id="govaert_m03e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Les m&eacute;langes finis comme mod&egrave;le de classification</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Les m&eacute;langes finis comme mod&egrave;le de classification</B></I>.
 	  Journ&eacute;es Analyse de donn&eacute;es, statistiques et apprentissage,&nbsp;
         Paris,
@@ Ligne 2786: / Ligne 3994: @@
 </tr>
 <tr id="govaert_m03f" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Fuzzy clustering via block mixture models (invited)</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Fuzzy clustering via block mixture models (invited)</B></I>.
 	  JIM,2003, Fourth International Conference Journ&eacute;es de l'Informatique Messine,&nbsp;
         Metz,
@@ Ligne 2825: / Ligne 4036: @@
 </tr>
 <tr id="govaert_m03h" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification et donn&eacute;es temporelles</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification et donn&eacute;es temporelles</B></I>.
 	  s&eacute;minaire LEAD,&nbsp;
         Lisbonne, Portugal,
@@ Ligne 2863: / Ligne 4077: @@
 </pre></td>
 </tr>
-<tr id="govaert_m03i_bis" class="entry">
+<tr id="govaert_m03i" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
-        G. Govaert.
+    <I><B>Analyse de donn&eacute;es</B></I>.
-	  <I><B>Analyse de donn&eacute;es</B></I>.
 	  ,&nbsp;
+        Paris,
@@ Ligne 2881: / Ligne 4098: @@
-	  <a href="javascript:toggleInfo('govaert_m03i_bis','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m03i','bibtex')">[BibTeX]</a>
@@ Ligne 2888: / Ligne 4105: @@
       </td>
 </tr>
-<tr id="bib_govaert_m03i_bis" class="bibtex noshow">
+<tr id="bib_govaert_m03i" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@book{govaert_m03i_bis,
+@book{govaert_m03i,,
-  author = {Govaert, G.},
   title = {Analyse de donn{\'e}es},
+  address = {Paris},
   publisher = {Hermes},
   year = {2003}
@@ Ligne 2901: / Ligne 4118: @@
 </tr>
 <tr id="govaert_m03j" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Block clustering and mixture models</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Block clustering and mixture models</B></I>.
 	  s&eacute;minaire LEAD,&nbsp;
         Lisbonne, Portugal,
@@ Ligne 2939: / Ligne 4159: @@
 </pre></td>
 </tr>
-<tr id="govaert_m03a" class="entry">
+<tr id="govaert_m03k" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert &amp; M. Nadif.
+    <I><B>Analyse de donn&eacute;es</B></I>.
-	  <I><B>Clustering with block mixture models</B></I>.
+	  ,&nbsp;
-	  Pattern Recognition,&nbsp;
-        Volume 36,
-	  Pages 463-473,
-.
-	  <a href="javascript:toggleInfo('govaert_m03a','bibtex')">[BibTeX]</a>
-	  </p>
+	  Hermes,
-      </td>
-</tr>
-<tr id="bib_govaert_m03a" class="bibtex noshow">
-<td colspan="6">
-<b>BibTeX</b>:
-<pre>
-@article{govaert_m03a,
-  author = {Govaert, G. and Nadif, M.},
-  title = {Clustering with block mixture models},
-  journal = {Pattern Recognition},
-  year = {2003},
-  volume = {36},
-  pages = {463-473}
-}
-</pre></td>
-</tr>
-<tr id="govaert_m03c" class="entry">
-	<td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Un algorithme EM pour le mod&egrave;le de m&eacute;lange crois&eacute; (conf&eacute;rence invit&eacute;e)</B></I>.
-	  SFdS'2003, 35ieme journ&eacute;es de Statistiques,&nbsp;
-        Lyon, France,
--6 Juin,
 .
-	  <a href="javascript:toggleInfo('govaert_m03c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m03k','bibtex')">[BibTeX]</a>
@@ Ligne 3003: / Ligne 4187: @@
       </td>
 </tr>
-<tr id="bib_govaert_m03c" class="bibtex noshow">
+<tr id="bib_govaert_m03k" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m03c,
+@book{govaert_m03k,
-  author = {Govaert, G. and Nadif, M.},
+  author = {Govaert, G.},
-  title = {Un algorithme {EM} pour le mod{\`e}le de m{\'e}lange crois{\'e} (conf{\'e}rence invit{\'e}e)},
+  title = {Analyse de donn{\'e}es},
-  booktitle = {SFdS'2003, 35\ieme journ{\'e}es de Statistiques},
+  publisher = {Hermes},
-  address = {Lyon, France},
-  month = {2-6 Juin},
   year = {2003}
 }
@@ Ligne 3018: / Ligne 4200: @@
 </tr>
 <tr id="hamdan_m03a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
+<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
+    H. Hamdan &amp; G. Govaert.
-	  <I><B>Classification de donn&eacute;es de type intervalle via l'algorithme EM</B></I>.
+    <I><B>Classification de donn&eacute;es de type intervalle via l'algorithme EM</B></I>.
 	  SFdS'2003, 35ieme journ&eacute;es de Statistiques,&nbsp;
         Lyon, France,
@@ Ligne 3057: / Ligne 4242: @@
 </tr>
 <tr id="hamdan_m03b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        H. Hamdan &amp; G. Govaert.
-	  <I><B>Mod&eacute;lisation et Classification des donn&eacute;es impr&eacute;cises</B></I>.
+<p class="infolinks">
+    H. Hamdan &amp; G. Govaert.
+    <I><B>Mod&eacute;lisation et Classification des donn&eacute;es impr&eacute;cises</B></I>.
 	  CIMNA 2003, Premier congr&egrave;s international sur les mod&eacute;lisations num&eacute;riques appliqu&eacute;es,&nbsp;
         Beyrouth, Liban,
@@ Ligne 3096: / Ligne 4284: @@
 </tr>
 <tr id="jollois_m03a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        F.X. Jollois; M. Nadif &amp; G. Govaert.
-	  <I><B>Classification crois&eacute;e sur des donn&eacute;es binaires de grande taille</B></I>.
+<p class="infolinks">
+    F.X. Jollois; M. Nadif &amp; G. Govaert.
+    <I><B>Classification crois&eacute;e sur des donn&eacute;es binaires de grande taille</B></I>.
 	  Revue d'intelligence artificielle,&nbsp;
@@ Ligne 3135: / Ligne 4326: @@
 </tr>
 <tr id="jollois_m03b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        F.X. Jollois; M. Nadif &amp; G. Govaert.
-	  <I><B>Classification crois&eacute;e sur des donn&eacute;es binaires de grande taille</B></I>.
+<p class="infolinks">
+    F.X. Jollois; M. Nadif &amp; G. Govaert.
+    <I><B>Classification crois&eacute;e sur des donn&eacute;es binaires de grande taille</B></I>.
 	  EGC'2003, Journ&eacute;es francophones d'extraction et de gestion des connaissances,&nbsp;
         Lyon,
@@ Ligne 3174: / Ligne 4368: @@
 </tr>
 <tr id="same_m03" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Same; C. Ambroise &amp; G. Govaert.
-	  <I><B>A mixture model approach for binned data clustering</B></I>.
+<p class="infolinks">
+    A. Same; C. Ambroise &amp; G. Govaert.
+    <I><B>A mixture model approach for binned data clustering</B></I>.
 	  Advances in Intelligent Data Analysis V. Proceedings 5th Int. Symposium on Intelligent Data Analysis IDA 2003,&nbsp;
         Berlin Heidelberg,
@@ Ligne 3215: / Ligne 4412: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m02" class="entry">
+    <td>
-    </table>
+    <h2>2002</h2> <br />
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2002</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m02" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise &amp; G. Govaert.
+    <I><B>A Mixture Model Approach to Datacube Clustering (Invited)</B></I>.
-	  <I><B>A Mixture Model Approach to Datacube Clustering (Invited)</B></I>.
 th Annual GFKL (Gesellschaft f&uuml;r Klassifikation),&nbsp;
         University of Mannheim, Germany,
@@ Ligne 3270: / Ligne 4455: @@
 </tr>
 <tr id="govaert_m02b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Mod&egrave;le de m&eacute;lange crois&eacute;e</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Mod&egrave;le de m&eacute;lange crois&eacute;e</B></I>.
 	  SFC'2002, IXiemes Rencontres de la soci&eacute;t&eacute; francophone de Classification,&nbsp;
         Toulouse,
@@ Ligne 3310: / Ligne 4498: @@
 </tr>
 <tr id="govaert_m02c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Block Clustering on continuous data</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Block Clustering on continuous data</B></I>.
 	  Workshop on Clustering High Dimensional Data and its Application, Second SIAM International Conference on Data Mining,&nbsp;
         Arlington, USA,
@@ Ligne 3350: / Ligne 4541: @@
 </tr>
 <tr id="govaert_m02d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Simultaneous Clustering on Continuous data and Statistical Modelling</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Simultaneous Clustering on Continuous data and Statistical Modelling</B></I>.
 th International Conference on Applied Mathematics and Engineering Sciences,&nbsp;
         Casablanca, Morocco,
@@ Ligne 3389: / Ligne 4583: @@
 </tr>
 <tr id="jollois_m02" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        F.X. Jollois; M. Nadif &amp; G. Govaert.
-	  <I><B>Assessing the Number of Clusters of the Latent Class Model</B></I>.
+<p class="infolinks">
+    F.X. Jollois; M. Nadif &amp; G. Govaert.
+    <I><B>Assessing the Number of Clusters of the Latent Class Model</B></I>.
 	  Classification, Clustering, and Data Analysis: Recent Advances and Applications, 8th Conference of the International Federation of Classification,&nbsp;
         Cracow, Poland,
@@ Ligne 3429: / Ligne 4626: @@
 </tr>
 <tr id="morizet_m02" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        P. Morizet-Mahoudeaux; G. Govaert; P. Trigano &amp; C. Ambroise.
-	  <I><B>Parcours Adaptatif &agrave; Temps Choisi</B></I>.
+<p class="infolinks">
+    P. Morizet-Mahoudeaux; G. Govaert; P. Trigano &amp; C. Ambroise.
+    <I><B>Parcours Adaptatif &agrave; Temps Choisi</B></I>.
 	  Journ&eacute;e Apprentissage et Interfaces Homme Machines, Coll&egrave;ge Apprentissage, Fouille et Extraction (CAFE),&nbsp;
         Institut Henri Poincar&eacute;, Paris,
@@ Ligne 3468: / Ligne 4668: @@
 </tr>
 <tr id="nadif_m02a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Parameters Estimation of Block Mixture models</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Parameters Estimation of Block Mixture models</B></I>.
 	  Compstat 2002, 15th International Conference on Computational Statistics,&nbsp;
         Berlin, Germany,
@@ Ligne 3507: / Ligne 4710: @@
 </tr>
 <tr id="nadif_m02b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif; G. Govaert &amp; F.X. Jollois.
-	  <I><B>A Hybrid Method for Identifying Homogenous Blocks in Large Data Sets</B></I>.
+<p class="infolinks">
+    M. Nadif; G. Govaert &amp; F.X. Jollois.
+    <I><B>A Hybrid Method for Identifying Homogenous Blocks in Large Data Sets</B></I>.
 	  Second Euro-Japanese Workshop on Stochastic Risk Modelling for Finance, Insurance, Production and Reliability,&nbsp;
         Chamonix, France,
@@ Ligne 3547: / Ligne 4753: @@
 </tr>
 <tr id="same_m02" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Same &amp; G. Govaert.
-	  <I><B>Algorithme CEM pour les donn&eacute;es sous forme d'histogramme</B></I>.
+<p class="infolinks">
+    A. Same &amp; G. Govaert.
+    <I><B>Algorithme CEM pour les donn&eacute;es sous forme d'histogramme</B></I>.
 	  ASU'2002, XXXIVieme journ&eacute;es de Statistiques,&nbsp;
         Bruxelles, Belgique,
@@ Ligne 3586: / Ligne 4795: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m01a" class="entry">
+    <td>
+    <h2>2001</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2001</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m01b" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise; T. Den&#339;ux; G. Govaert &amp; P. Smets.
+    <I><B>A Mixture Model Approach for Classifying Doubtful labeled Data</B></I>.
-	  <I><B>Learning from an Imprecise Teacher: Probabilistic and Evidential Approaches</B></I>.
+	  Mixtures 2001,&nbsp;
-	  ASMDA 2001 : International Symposium on Applied Stochastic Models and Data Analysis,&nbsp;
+        Hamburg,
+        July,
-        June,
@@ Ligne 3620: / Ligne 4816: @@
-	  <a href="javascript:toggleInfo('ambroise_m01b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m01a','bibtex')">[BibTeX]</a>
@@ Ligne 3627: / Ligne 4823: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m01b" class="bibtex noshow">
+<tr id="bib_ambroise_m01a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m01b,
+@inproceedings{ambroise_m01a,
-  author = {Ambroise, C. and Den{\oe}ux, T. and Govaert, G. and Smets, P.},
+  author = {Ambroise, C. and Govaert, G.},
-  title = {Learning from an Imprecise Teacher: Probabilistic and Evidential Approaches},
+  title = {A Mixture Model Approach for Classifying Doubtful labeled Data},
-  booktitle = {ASMDA 2001 : International Symposium on Applied Stochastic Models and Data Analysis},
+  booktitle = {Mixtures 2001},
-  month = {June},
+  address = {Hamburg},
+  month = {July},
   year = {2001}
 }
 </pre></td>
 </tr>
-<tr id="ambroise_m01a" class="entry">
+<tr id="ambroise_m01b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>A Mixture Model Approach for Classifying Doubtful labeled Data</B></I>.
-	  Mixtures 2001,&nbsp;
+<p class="infolinks">
-        Hamburg,
-        July,
+    C. Ambroise; T. Den&#339;ux; G. Govaert &amp; P. Smets.
+    <I><B>Learning from an Imprecise Teacher: Probabilistic and Evidential Approaches</B></I>.
+	  ASMDA 2001 : International Symposium on Applied Stochastic Models and Data Analysis,&nbsp;
+        June,
@@ Ligne 3658: / Ligne 4858: @@
-	  <a href="javascript:toggleInfo('ambroise_m01a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m01b','bibtex')">[BibTeX]</a>
@@ Ligne 3665: / Ligne 4865: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m01a" class="bibtex noshow">
+<tr id="bib_ambroise_m01b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m01a,
+@inproceedings{ambroise_m01b,
-  author = {Ambroise, C. and Govaert, G.},
+  author = {Ambroise, C. and Den{\oe}ux, T. and Govaert, G. and Smets, P.},
-  title = {A Mixture Model Approach for Classifying Doubtful labeled Data},
+  title = {Learning from an Imprecise Teacher: Probabilistic and Evidential Approaches},
-  booktitle = {Mixtures 2001},
+  booktitle = {ASMDA 2001 : International Symposium on Applied Stochastic Models and Data Analysis},
-  address = {Hamburg},
+  month = {June},
-  month = {July},
   year = {2001}
 }
@@ Ligne 3680: / Ligne 4879: @@
 </tr>
 <tr id="ambroise_m01c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Clustering and Models</B></I>.
+<p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
+    <I><B>Clustering and Models</B></I>.
 	  Classification, Automation and New Media,&nbsp;
         Berlin,
@@ Ligne 3720: / Ligne 4922: @@
 </tr>
 <tr id="biernacki_m01" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Strategies for Getting the Highest Likelihood in Mixture Models</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Strategies for Getting the Highest Likelihood in Mixture Models</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 3759: / Ligne 4964: @@
 </tr>
 <tr id="govaert_m01a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Les m&eacute;langes finis comme mod&egrave;le de classification</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Les m&eacute;langes finis comme mod&egrave;le de classification</B></I>.
 	  Journ&eacute;es INRIA IS2,&nbsp;
         Grenoble,
@@ Ligne 3797: / Ligne 5005: @@
 </pre></td>
 </tr>
-<tr id="govaert_m01c" class="entry">
+<tr id="govaert_m01b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert &amp; G. Celeux.
+    <I><B>Mod&egrave;les de m&eacute;lange sur variable qualitatives et binaires</B></I>.
+	  Journ&eacute;es INRIA IS2,&nbsp;
+        Grenoble,
+        Mars,
+.
+	  <a href="javascript:toggleInfo('govaert_m01b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m01b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m01b,
+  author = {Govaert, G. and Celeux, G.},
+  title = {Mod{\`e}les de m{\'e}lange sur variable qualitatives et binaires},
+  booktitle = {Journ{\'e}es INRIA IS2},
+  address = {Grenoble},
+  month = {Mars},
+  year = {2001}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m01c" class="entry">
+    <td>
+<p class="infolinks">
-        G. Govaert.
+    G. Govaert.
-	  <I><B>Classification automatique et m&eacute;lange pour le diagnostic</B></I>.
+    <I><B>Classification automatique et m&eacute;lange pour le diagnostic</B></I>.
 	  journ&eacute;e analyse de donn&eacute;es et diagnostic,&nbsp;
         Paris,
@@ Ligne 3837: / Ligne 5090: @@
 </tr>
 <tr id="govaert_m01d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification automatique et mod&egrave;le de m&eacute;lange pour les donn&eacute;es spatiales</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification automatique et mod&egrave;le de m&eacute;lange pour les donn&eacute;es spatiales</B></I>.
 	  s&eacute;minaire de l'Institut Pierre Simon Laplace,&nbsp;
         Paris,
@@ Ligne 3876: / Ligne 5132: @@
 </tr>
 <tr id="govaert_m01e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
+<p class="infolinks">
-        G. Govaert.
+    G. Govaert.
-	  <I><B>Mod&egrave;le de m&eacute;lange et cartes de Kohonen</B></I>.
+    <I><B>Mod&egrave;le de m&eacute;lange et cartes de Kohonen</B></I>.
 	  s&eacute;minaire M&eacute;thodes Neuronales,&nbsp;
         Institut Henri Poincar&eacute;, Paris,
@@ Ligne 3914: / Ligne 5173: @@
 </pre></td>
 </tr>
-<tr id="govaert_m01b" class="entry">
+<tr id="ambroise_m00a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
+    <h2>2000</h2> <br />
-        G. Govaert &amp; G. Celeux.
-	  <I><B>Mod&egrave;les de m&eacute;lange sur variable qualitatives et binaires</B></I>.
-	  Journ&eacute;es INRIA IS2,&nbsp;
-        Grenoble,
-        Mars,
-.
-	  <a href="javascript:toggleInfo('govaert_m01b','bibtex')">[BibTeX]</a>
-	  </p>
-      </td>
-</tr>
-<tr id="bib_govaert_m01b" class="bibtex noshow">
-<td colspan="6">
-<b>BibTeX</b>:
-<pre>
-@inproceedings{govaert_m01b,
-  author = {Govaert, G. and Celeux, G.},
-  title = {Mod{\`e}les de m{\'e}lange sur variable qualitatives et binaires},
-  booktitle = {Journ{\'e}es INRIA IS2},
-  address = {Grenoble},
-  month = {Mars},
-  year = {2001}
-}
-</pre></td>
-</tr>
-</tbody>
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>2000</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m00a" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise &amp; G. Govaert.
+    <I><B>Mixture Models and Clustering (Invited)</B></I>.
-	  <I><B>Mixture Models and Clustering (Invited)</B></I>.
 th Annual GfKl (Gesellschaft fur Klassifikation),&nbsp;
         University of Passau, Germany,
@@ Ligne 4009: / Ligne 5216: @@
 </tr>
 <tr id="ambroise_m00b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>EM Algorithm for Partially Known Labels</B></I>.
+<p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
+    <I><B>EM Algorithm for Partially Known Labels</B></I>.
 	  Data Analysis, Classification, and Related Methods, Proceedings of the 7th Conference of the International Federation of Classification Societies (IFCS-2000), University of Namur, Belgium,&nbsp;
         Berlin,
@@ Ligne 4050: / Ligne 5260: @@
 </tr>
 <tr id="ambroise_m00c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Clustering by Maximizing a Fuzzy Classification Maximum Likelihood Criterion</B></I>.
+<p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
+    <I><B>Clustering by Maximizing a Fuzzy Classification Maximum Likelihood Criterion</B></I>.
 	  Compstat 2000, Prodeedings in Computational Statistics, 14th Symposium held in Utrecht, The Netherlands,&nbsp;
         Heidelberg,
@@ Ligne 4090: / Ligne 5303: @@
 </tr>
 <tr id="biernacki_m00a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood</B></I>.
 	  IEEE Transactions on Pattern Analysis and Machine Intelligence,&nbsp;
@@ Ligne 4131: / Ligne 5347: @@
 </tr>
 <tr id="biernacki_m00b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Strat&eacute;gies algorithmiques pour maximiser la vraisemblance dans les mod&egrave;les de m&eacute;lange</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Strat&eacute;gies algorithmiques pour maximiser la vraisemblance dans les mod&egrave;les de m&eacute;lange</B></I>.
 	  ASU'2000, XXXIIieme journ&eacute;es de Statistiques,&nbsp;
         Fez, Maroc,
@@ Ligne 4171: / Ligne 5390: @@
 </tr>
 <tr id="biernacki_m00c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Strategies for Getting Likelihood in Mixture Models</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Strategies for Getting Likelihood in Mixture Models</B></I>.
 	  JSM 2000,&nbsp;
         Indianapolis,
@@ Ligne 4210: / Ligne 5432: @@
 </tr>
 <tr id="biernacki_m00d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>Strategies for Getting Likelihood in Mixture Models</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>Strategies for Getting Likelihood in Mixture Models</B></I>.
 	  Workshop Franco-Portugais sur la classification,&nbsp;
         Paris,
@@ Ligne 4248: / Ligne 5473: @@
 </pre></td>
 </tr>
-<tr id="govaert_m00a" class="entry">
+<tr id="carreira-perpinan_00" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    M.&Aacute;. Carreira-Perpi&ntilde;&aacute;n &amp; S. Renals.
+    <I><B>Practical identifiability of finite mixtures of multivariate Bernoulli distributions</B></I>.
+	  Neural Computation,&nbsp;
+        Volume 12,
+        Number 1,
+	  Pages 141-152,
+	  MIT Press,
+.
+	  <a href="javascript:toggleInfo('carreira-perpinan_00','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_carreira-perpinan_00" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{carreira-perpinan_00,
+  author = {Carreira-Perpi{\~n}{\'a}n, M.{\'A}. and Renals, S.},
+  title = {Practical identifiability of finite mixtures of multivariate Bernoulli distributions},
+  journal = {Neural Computation},
+  publisher = {MIT Press},
+  year = {2000},
+  volume = {12},
+  number = {1},
+  pages = {141--152}
+}
+</pre></td>
+</tr>
+<tr id="chickering_00" class="entry">
+    <td>
+<p class="infolinks">
+    D.M. Chickering &amp; D. Heckerman.
+    <I><B>A comparison of scientific and engineering criteria for Bayesian model selection</B></I>.
+	  Statistics and Computing,&nbsp;
+        Volume 10,
+        Number 1,
+	  Pages 55-62,
+	  Springer,
+.
+	  <a href="javascript:toggleInfo('chickering_00','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_chickering_00" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@article{chickering_00,
+  author = {Chickering, D.M. and Heckerman, D.},
+  title = {A comparison of scientific and engineering criteria for Bayesian model selection},
+  journal = {Statistics and Computing},
+  publisher = {Springer},
+  year = {2000},
+  volume = {10},
+  number = {1},
+  pages = {55--62}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m00a" class="entry">
+    <td>
+<p class="infolinks">
-        G. Govaert.
+    G. Govaert.
-	  <I><B>Classification et mod&egrave;les de m&eacute;lange - Application aux donn&eacute;es spatiales</B></I>.
+    <I><B>Classification et mod&egrave;les de m&eacute;lange - Application aux donn&eacute;es spatiales</B></I>.
 	  Revue Internationale de g&eacute;omatique, European Journal of GIS and Spatial Analysis,&nbsp;
@@ Ligne 4289: / Ligne 5605: @@
 </tr>
 <tr id="govaert_m00b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification et mod&egrave;les de m&eacute;lange - Application aux donn&eacute;es spatiales</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification et mod&egrave;les de m&eacute;lange - Application aux donn&eacute;es spatiales</B></I>.
 	  Journ&eacute;es Data Mining et Analyse du risque,&nbsp;
         Versailles,
@@ Ligne 4328: / Ligne 5647: @@
 </tr>
 <tr id="govaert_m00c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification de donn&eacute;es temporelles</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification de donn&eacute;es temporelles</B></I>.
 	  Workshop Franco-Portugais sur la classification,&nbsp;
         Paris,
@@ Ligne 4367: / Ligne 5689: @@
 </tr>
 <tr id="govaert_m00d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification et Mod&egrave;le de m&eacute;lange ; application aux donn&eacute;es spatiales</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification et Mod&egrave;le de m&eacute;lange ; application aux donn&eacute;es spatiales</B></I>.
 	  s&eacute;minaire LEAD,&nbsp;
         Lisbonne, Portugal,
@@ Ligne 4406: / Ligne 5731: @@
 </tr>
 <tr id="putz_m00" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Putz &amp; G. Govaert.
-	  <I><B>Mod&egrave;le de m&eacute;lange Gaussien et qualit&eacute; des mesures</B></I>.
+<p class="infolinks">
+    G. Putz &amp; G. Govaert.
+    <I><B>Mod&egrave;le de m&eacute;lange Gaussien et qualit&eacute; des mesures</B></I>.
 	  ASU'2000, XXXIIieme journ&eacute;es de Statistiques,&nbsp;
         Fez, Maroc,
@@ Ligne 4445: / Ligne 5773: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m99" class="entry">
+    <td>
+    <h2>1999</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1999</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m99" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise &amp; G. Govaert.
+    <I><B>Classification spatiale utilisant des &eacute;chantillons partiellement class&eacute;s</B></I>.
-	  <I><B>Classification spatiale utilisant des &eacute;chantillons partiellement class&eacute;s</B></I>.
 	  ASU'99, XXXIieme journ&eacute;es de Statistiques,&nbsp;
         Grenoble,
@@ Ligne 4502: / Ligne 5817: @@
 </tr>
 <tr id="biernacki_m99a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki; G. Celeux &amp; G. Govaert.
-	  <I><B>An improvement of the NEC criterion for assessing the number of clusters in a mixture model</B></I>.
+<p class="infolinks">
+    C. Biernacki; G. Celeux &amp; G. Govaert.
+    <I><B>An improvement of the NEC criterion for assessing the number of clusters in a mixture model</B></I>.
 	  Pattern Recognition Letters,&nbsp;
@@ Ligne 4541: / Ligne 5859: @@
 </tr>
 <tr id="biernacki_m99b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Choosing Models in Model-Based Clustering and Discriminant Analysis</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Choosing Models in Model-Based Clustering and Discriminant Analysis</B></I>.
 	  Journal of Statistical Computation and Simulation,&nbsp;
@@ Ligne 4580: / Ligne 5901: @@
 </tr>
 <tr id="bzioui_m99a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Bzioui; M. Nadif &amp; G. Govaert.
-	  <I><B>Mod&egrave;le de m&eacute;lange crois&eacute;, estimation et classification</B></I>.
+<p class="infolinks">
+    M. Bzioui; M. Nadif &amp; G. Govaert.
+    <I><B>Mod&egrave;le de m&eacute;lange crois&eacute;, estimation et classification</B></I>.
 	  ASU'99, XXXIieme journ&eacute;es de Statistiques,&nbsp;
         Grenoble,
@@ Ligne 4620: / Ligne 5944: @@
 </tr>
 <tr id="bzioui_m99b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Bzioui; M. Nadif &amp; G. Govaert.
-	  <I><B>M&eacute;langes de Bernoulli et Gaussiens dans la classification crois&eacute;e</B></I>.
+<p class="infolinks">
+    M. Bzioui; M. Nadif &amp; G. Govaert.
+    <I><B>M&eacute;langes de Bernoulli et Gaussiens dans la classification crois&eacute;e</B></I>.
 	  SFC-99, 7e journ&eacute;es de Classification,&nbsp;
         Nancy,
@@ Ligne 4660: / Ligne 5987: @@
 </tr>
 <tr id="dang_m99a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Clustering of Spatial Incomplete Data Using a Fuzzy Classifying Likelihood</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Clustering of Spatial Incomplete Data Using a Fuzzy Classifying Likelihood</B></I>.
 th International Workshop on Statistical Modelling,&nbsp;
         Graz (Austria),
@@ Ligne 4700: / Ligne 6030: @@
 </tr>
 <tr id="dang_m99b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Clustering of Spatial by Optimizing a Fuzzy Classifying Likelihood</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Clustering of Spatial by Optimizing a Fuzzy Classifying Likelihood</B></I>.
 	  Second European Conference on Highly Structured Stochastic Systems,&nbsp;
         Pavia (Italy),
@@ Ligne 4740: / Ligne 6073: @@
 </tr>
 <tr id="govaert_m99" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification automatique et mod&egrave;le de m&eacute;lange, conf&eacute;rence invit&eacute;e</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification automatique et mod&egrave;le de m&eacute;lange, conf&eacute;rence invit&eacute;e</B></I>.
 	  ASU'99, XXXIieme journ&eacute;es de Statistiques,&nbsp;
         Grenoble,
@@ Ligne 4780: / Ligne 6116: @@
 </tr>
 <tr id="lambert_m99" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        A. Lambert; M. Dang &amp; G. Govaert.
-	  <I><B>Generating validity regions using markovian spatial clustering</B></I>.
+<p class="infolinks">
+    A. Lambert; M. Dang &amp; G. Govaert.
+    <I><B>Generating validity regions using markovian spatial clustering</B></I>.
 -th Int. conf. on Advanced Robotics,&nbsp;
         Tokyo (Japan),
@@ Ligne 4818: / Ligne 6157: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m98" class="entry">
+    <td>
+    <h2>1998</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1998</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m98" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise &amp; G. Govaert.
+    <I><B>Convergence of an EM-type algorithm for spatial clustering</B></I>.
-	  <I><B>Convergence of an EM-type algorithm for spatial clustering</B></I>.
 	  Pattern Recognition Letters,&nbsp;
@@ Ligne 4872: / Ligne 6200: @@
 </tr>
 <tr id="biernacki_m98a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Choosing Models in Model-based Clustering and Discriminant Analysis</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Choosing Models in Model-based Clustering and Discriminant Analysis</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 4911: / Ligne 6242: @@
 </tr>
 <tr id="biernacki_m98b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Biernacki, C.and Celeux &amp; G. Govaert.
-	  <I><B>Assessing a Mixture Model for Clustering with the Integrated Classification Likelihood</B></I>.
+<p class="infolinks">
+    G. Biernacki, C.and Celeux &amp; G. Govaert.
+    <I><B>Assessing a Mixture Model for Clustering with the Integrated Classification Likelihood</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 4950: / Ligne 6284: @@
 </tr>
 <tr id="bzioui_m98" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Bzioui; M. Nadif &amp; G. Govaert.
-	  <I><B>Classification crois&eacute;e et mod&egrave;le</B></I>.
+<p class="infolinks">
+    M. Bzioui; M. Nadif &amp; G. Govaert.
+    <I><B>Classification crois&eacute;e et mod&egrave;le</B></I>.
 	  ASU'98, XXXieme journ&eacute;es de Statistiques,&nbsp;
         Rennes,
@@ Ligne 4990: / Ligne 6327: @@
 </tr>
 <tr id="dang_m98a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Fuzzy Clustering of Spatial Binary Data</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Fuzzy Clustering of Spatial Binary Data</B></I>.
 	  Kybernetika,&nbsp;
@@ Ligne 5030: / Ligne 6370: @@
 </tr>
 <tr id="dang_m98b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Spatial Fuzzy Clustering using EM and Markov Random Fields</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Spatial Fuzzy Clustering using EM and Markov Random Fields</B></I>.
 	  International Journal of System Research and Information Science,&nbsp;
@@ Ligne 5070: / Ligne 6413: @@
 </tr>
 <tr id="dang_m98c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Classification automatique de donn&eacute;es spatiales incompl&egrave;tes</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Classification automatique de donn&eacute;es spatiales incompl&egrave;tes</B></I>.
 	  ASU'98, XXXieme journ&eacute;es de Statistiques,&nbsp;
         Rennes,
@@ Ligne 5110: / Ligne 6456: @@
 </tr>
 <tr id="dang_m98d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>A Clustering for Spatial Data: Evaluating Different Strategies</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>A Clustering for Spatial Data: Evaluating Different Strategies</B></I>.
 	  IFCS-98, 6th Conference of the International Federation of Classification Societies,&nbsp;
         R&ocirc;me,
@@ Ligne 5150: / Ligne 6499: @@
 </tr>
 <tr id="dang_m98e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Spatial Clustering Techniques: an Experimental Comparison</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Spatial Clustering Techniques: an Experimental Comparison</B></I>.
 	  COMPSTAT 1998,&nbsp;
         Bristol (England),
@@ Ligne 5188: / Ligne 6540: @@
 </pre></td>
 </tr>
-<tr id="govaert_m98" class="entry">
+<tr id="govaert_m98a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification Automatique et mod&egrave;le de m&eacute;lange</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification Automatique et mod&egrave;le de m&eacute;lange</B></I>.
 	  SFC-98, 6e journ&eacute;es de Classification,&nbsp;
         Montpellier,
@@ Ligne 5206: / Ligne 6561: @@
-	  <a href="javascript:toggleInfo('govaert_m98','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m98a','bibtex')">[BibTeX]</a>
@@ Ligne 5213: / Ligne 6568: @@
       </td>
 </tr>
-<tr id="bib_govaert_m98" class="bibtex noshow">
+<tr id="bib_govaert_m98a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m98,
+@inproceedings{govaert_m98a,
   author = {G. Govaert},
   title = {Classification Automatique et mod{\`e}le de m{\'e}lange},
@@ Ligne 5228: / Ligne 6583: @@
 </tr>
 <tr id="nadif_m98" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Clustering for binary data and mixture models: Choice of the model</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Clustering for binary data and mixture models: Choice of the model</B></I>.
 	  Applied Stochastic Models and Data Analysis,&nbsp;
@@ Ligne 5266: / Ligne 6624: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m97a" class="entry">
+    <td>
+    <h2>1997</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1997</h3>
-    <table id="qstable" border="0">
-      <tbody><tr id="ambroise_m97b" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise; M. V. Dang &amp; G. Govaert.
-        A. Ambroise &amp; G. Govaert.
+    <I><B>Clustering of Spatial Data by The EM Algorithm</B></I>.
-	  <I><B>Spatial Clustering Based on Both Classified and Unclassified Observations</B></I>.
+	  Geostatistics for Environmental Applications,&nbsp;
-th European Colloquium on Theoretical and Quantitative Geography,&nbsp;
-        Rostock, Germany,
-        September,
+        Quantitative Geology and Geostatistics,
+        Volume 9,
+	  Pages 493-504,
+	  Kluwer Academic Publisher,
 .
-	  <a href="javascript:toggleInfo('ambroise_m97b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m97a','bibtex')">[BibTeX]</a>
@@ Ligne 5307: / Ligne 6652: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m97b" class="bibtex noshow">
+<tr id="bib_ambroise_m97a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m97b,
+@incollection{ambroise_m97a,
-  author = {Ambroise, A. and Govaert, G.},
+  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
-  title = {Spatial Clustering Based on Both Classified and Unclassified Observations},
+  title = {Clustering of Spatial Data by The {EM} Algorithm},
-  booktitle = {10th European Colloquium on Theoretical and Quantitative Geography},
+  booktitle = {Geostatistics for Environmental Applications},
-  address = {Rostock, Germany},
+  publisher = {Kluwer Academic Publisher},
-  month = {September},
+  year = {1997},
-  year = {1997}
+  series = {Quantitative Geology and Geostatistics},
+  volume = {9},
+  pages = {493-504}
 }
 </pre></td>
 </tr>
-<tr id="ambroise_m97a" class="entry">
+<tr id="ambroise_m97b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise; M. V. Dang &amp; G. Govaert.
-	  <I><B>Clustering of Spatial Data by The EM Algorithm</B></I>.
-	  Geostatistics for Environmental Applications,&nbsp;
+<p class="infolinks">
+    A. Ambroise &amp; G. Govaert.
+    <I><B>Spatial Clustering Based on Both Classified and Unclassified Observations</B></I>.
+th European Colloquium on Theoretical and Quantitative Geography,&nbsp;
+        Rostock, Germany,
+        September,
-        Quantitative Geology and Geostatistics,
-        Volume 9,
-	  Pages 493-504,
-	  Kluwer Academic Publisher,
 .
-	  <a href="javascript:toggleInfo('ambroise_m97a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m97b','bibtex')">[BibTeX]</a>
@@ Ligne 5346: / Ligne 6696: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m97a" class="bibtex noshow">
+<tr id="bib_ambroise_m97b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@incollection{ambroise_m97a,
+@inproceedings{ambroise_m97b,
-  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
+  author = {Ambroise, A. and Govaert, G.},
-  title = {Clustering of Spatial Data by The {EM} Algorithm},
+  title = {Spatial Clustering Based on Both Classified and Unclassified Observations},
-  booktitle = {Geostatistics for Environmental Applications},
+  booktitle = {10th European Colloquium on Theoretical and Quantitative Geography},
-  publisher = {Kluwer Academic Publisher},
+  address = {Rostock, Germany},
-  year = {1997},
+  month = {September},
-  series = {Quantitative Geology and Geostatistics},
+  year = {1997}
-  volume = {9},
-  pages = {493-504}
 }
 </pre></td>
 </tr>
 <tr id="biernacki_m97a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Using the classification likelihood to choose the number of clusters</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Using the classification likelihood to choose the number of clusters</B></I>.
 	  Computing Science and Statistics,&nbsp;
@@ Ligne 5403: / Ligne 6754: @@
 </tr>
 <tr id="biernacki_m97b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Using the classification likelihood to choose the number of clusters</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Using the classification likelihood to choose the number of clusters</B></I>.
 	  Second World Conference of the International Association for Statistical Computing,&nbsp;
         Pasadena, USA,
@@ Ligne 5442: / Ligne 6796: @@
 </tr>
 <tr id="biernacki_m97c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Choosing Gaussian Models in Discriminant Analysis</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Choosing Gaussian Models in Discriminant Analysis</B></I>.
 	  IV International Meeting of Multidimensional Data Analysis,&nbsp;
         Bilbao, Spain,
@@ Ligne 5481: / Ligne 6838: @@
 </tr>
 <tr id="celeux_m97" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux; C. Biernacki &amp; G. Govaert.
-	  <I><B>Choosing models in model-based clustering and discriminant analysis</B></I>.
+<p class="infolinks">
+    G. Celeux; C. Biernacki &amp; G. Govaert.
+    <I><B>Choosing models in model-based clustering and discriminant analysis</B></I>.
 	  JSM'97,&nbsp;
         Anaheim, USA,
@@ Ligne 5520: / Ligne 6880: @@
 </tr>
 <tr id="dang_m97a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Fuzzy Clustering of Spatial Binary Data</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Fuzzy Clustering of Spatial Binary Data</B></I>.
 	  Worshop on Statistical Techniques in Pattern Recognition,&nbsp;
         Prague,
@@ Ligne 5559: / Ligne 6922: @@
 </tr>
 <tr id="dang_m97b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Dang &amp; G. Govaert.
-	  <I><B>Classification automatique de donn&eacute;es spatiales binaires</B></I>.
+<p class="infolinks">
+    M. Dang &amp; G. Govaert.
+    <I><B>Classification automatique de donn&eacute;es spatiales binaires</B></I>.
 	  XXIXieme journ&eacute;es de Statistiques,&nbsp;
         Carcassonne,
@@ Ligne 5598: / Ligne 6964: @@
 </tr>
 <tr id="denoeux_m97" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        T. Denoeux &amp; G. Govaert.
-	  <I><B>Un algorithme de classification automatique non param&eacute;trique</B></I>.
+<p class="infolinks">
+    T. Denoeux &amp; G. Govaert.
+    <I><B>Un algorithme de classification automatique non param&eacute;trique</B></I>.
 	  Compte rendus de l'Acad&eacute;mie des Sciences, S&eacute;rie 1: Math&eacute;matique,&nbsp;
@@ Ligne 5637: / Ligne 7006: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m96a" class="entry">
+    <td>
+    <h2>1996</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1996</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="ambroise_m96c" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise; M. V. Dang &amp; G. Govaert.
+    <I><B>Constrained Clustering and Kohonen Self-Organizing Maps</B></I>.
-	  <I><B>Clustering of spatial data by the EM algorithm</B></I>.
+	  Journal of Classification,&nbsp;
-	  Model-Based Clustering and Spatial Process Workshop,&nbsp;
-        Seattle, USA,
-        July,
-	  Pages 263-272,
+        Volume 13,
-	  University of Washington,
+        Number 2,
+	  Pages 299-313,
 .
-	  <a href="javascript:toggleInfo('ambroise_m96c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m96a','bibtex')">[BibTeX]</a>
@@ Ligne 5675: / Ligne 7034: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m96c" class="bibtex noshow">
+<tr id="bib_ambroise_m96a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m96c,
+@article{ambroise_m96a,
-  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
+  author = {Ambroise, C. and Govaert, G.},
-  title = {Clustering of spatial data by the {EM} algorithm},
+  title = {Constrained Clustering and Kohonen Self-Organizing Maps},
-  booktitle = {Model-Based Clustering and Spatial Process Workshop},
+  journal = {Journal of Classification},
-  address = {Seattle, USA},
-  month = {July},
-  publisher = {University of Washington},
   year = {1996},
-  pages = {263-272}
+  volume = {13},
+  number = {2},
+  pages = {299-313}
 }
 </pre></td>
 </tr>
-<tr id="ambroise_m96d" class="entry">
+<tr id="ambroise_m96b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise; M. V. Dang &amp; G. Govaert.
-	  <I><B>Clustering of spatial data by the EM algorithm</B></I>.
-	  GeoENV-96, 1st European Conference on Geostatistics for Environmental Application,&nbsp;
+<p class="infolinks">
-        Lisbonne (Portugal),
-        November,
+    C. Ambroise &amp; G. Govaert.
+    <I><B>Analyzing Dissimilarity Matrices via Kohonen Maps</B></I>.
+	  IFCS-96, 5th Conference of the International Federation of Classification Societies,&nbsp;
+        Kobe (Japan),
+-30 Mars,
+        Volume 2,
+	  Pages 96-99,
-	  Pages 20-22,
 .
-	  <a href="javascript:toggleInfo('ambroise_m96d','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m96b','bibtex')">[BibTeX]</a>
@@ Ligne 5716: / Ligne 7077: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m96d" class="bibtex noshow">
+<tr id="bib_ambroise_m96b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m96d,
+@inproceedings{ambroise_m96b,
-  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
+  author = {Ambroise, C. and Govaert, G.},
-  title = {Clustering of spatial data by the {EM} algorithm},
+  title = {Analyzing Dissimilarity Matrices via Kohonen Maps},
-  booktitle = {GeoENV-96, 1st European Conference on Geostatistics for Environmental Application},
+  booktitle = {IFCS-96, 5th Conference of the International Federation of Classification Societies},
-  address = {Lisbonne (Portugal)},
+  address = {Kobe (Japan)},
-  month = {November},
+  month = {27-30 Mars},
   year = {1996},
-  pages = {20-22}
+  volume = {2},
+  pages = {96-99}
 }
 </pre></td>
 </tr>
-<tr id="ambroise_m96a" class="entry">
+<tr id="ambroise_m96c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Constrained Clustering and Kohonen Self-Organizing Maps</B></I>.
-	  Journal of Classification,&nbsp;
+<p class="infolinks">
+    C. Ambroise; M. V. Dang &amp; G. Govaert.
+    <I><B>Clustering of spatial data by the EM algorithm</B></I>.
+	  Model-Based Clustering and Spatial Process Workshop,&nbsp;
+        Seattle, USA,
+        July,
-        Volume 13,
+	  Pages 263-272,
-        Number 2,
+	  University of Washington,
-	  Pages 299-313,
 .
-	  <a href="javascript:toggleInfo('ambroise_m96a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m96c','bibtex')">[BibTeX]</a>
@@ Ligne 5756: / Ligne 7121: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m96a" class="bibtex noshow">
+<tr id="bib_ambroise_m96c" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{ambroise_m96a,
+@inproceedings{ambroise_m96c,
-  author = {Ambroise, C. and Govaert, G.},
+  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
-  title = {Constrained Clustering and Kohonen Self-Organizing Maps},
+  title = {Clustering of spatial data by the {EM} algorithm},
-  journal = {Journal of Classification},
+  booktitle = {Model-Based Clustering and Spatial Process Workshop},
+  address = {Seattle, USA},
+  month = {July},
+  publisher = {University of Washington},
   year = {1996},
-  volume = {13},
+  pages = {263-272}
-  number = {2},
-  pages = {299-313}
 }
 </pre></td>
 </tr>
-<tr id="ambroise_m96b" class="entry">
+<tr id="ambroise_m96d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Analyzing Dissimilarity Matrices via Kohonen Maps</B></I>.
-	  IFCS-96, 5th Conference of the International Federation of Classification Societies,&nbsp;
+<p class="infolinks">
-        Kobe (Japan),
--30 Mars,
+    C. Ambroise; M. V. Dang &amp; G. Govaert.
+    <I><B>Clustering of spatial data by the EM algorithm</B></I>.
+	  GeoENV-96, 1st European Conference on Geostatistics for Environmental Application,&nbsp;
+        Lisbonne (Portugal),
+        November,
-        Volume 2,
-	  Pages 96-99,
+	  Pages 20-22,
 .
-	  <a href="javascript:toggleInfo('ambroise_m96b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('ambroise_m96d','bibtex')">[BibTeX]</a>
@@ Ligne 5796: / Ligne 7165: @@
       </td>
 </tr>
-<tr id="bib_ambroise_m96b" class="bibtex noshow">
+<tr id="bib_ambroise_m96d" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{ambroise_m96b,
+@inproceedings{ambroise_m96d,
-  author = {Ambroise, C. and Govaert, G.},
+  author = {Ambroise, C. and Dang, M. V. and Govaert, G.},
-  title = {Analyzing Dissimilarity Matrices via Kohonen Maps},
+  title = {Clustering of spatial data by the {EM} algorithm},
-  booktitle = {IFCS-96, 5th Conference of the International Federation of Classification Societies},
+  booktitle = {GeoENV-96, 1st European Conference on Geostatistics for Environmental Application},
-  address = {Kobe (Japan)},
+  address = {Lisbonne (Portugal)},
-  month = {27-30 Mars},
+  month = {November},
   year = {1996},
-  volume = {2},
+  pages = {20-22}
-  pages = {96-99}
 }
 </pre></td>
 </tr>
 <tr id="biernacki_m96" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G. Govaert.
-	  <I><B>Comparaison de crit&egrave;res en classification pour la d&eacute;tection de mod&egrave;les gaussiens parcimonieux</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G. Govaert.
+    <I><B>Comparaison de crit&egrave;res en classification pour la d&eacute;tection de mod&egrave;les gaussiens parcimonieux</B></I>.
 ieme Journees de la Soci&eacute;t&eacute; Francophone de Classification,&nbsp;
         Vannes,
@@ Ligne 5853: / Ligne 7224: @@
 </tr>
 <tr id="denoeux_m96" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        T. Denoeux &amp; G. Govaert.
-	  <I><B>Combined supervised and unsupervised learning for system diagnosis using Dempster-Shafer theory</B></I>.
+<p class="infolinks">
+    T. Denoeux &amp; G. Govaert.
+    <I><B>Combined supervised and unsupervised learning for system diagnosis using Dempster-Shafer theory</B></I>.
 	  CESA'96 IMACS Multiconference, Computational Engineering in Systems Applications. Symposium on Control, Optimization and Supervision,&nbsp;
         Lille,
@@ Ligne 5893: / Ligne 7267: @@
 </pre></td>
 </tr>
-<tr id="govaert_m96b" class="entry">
+<tr id="govaert_m96a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Analyse des donn&eacute;es multidimensionnelles by H. Rouanet et B. Le Roux (Book review)</B></I>.
-	  Journal of Classification,&nbsp;
+<p class="infolinks">
+    G. Govaert &amp; N. Nadif.
+    <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis when data are binary</B></I>.
+	  Computational Statistics and Data Analysis,&nbsp;
-        Volume 13,
+        Volume 23,
-        Number 1,
-	  Pages 173-174,
+	  Pages 65-81,
 .
-	  <a href="javascript:toggleInfo('govaert_m96b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m96a','bibtex')">[BibTeX]</a>
@@ Ligne 5918: / Ligne 7295: @@
       </td>
 </tr>
-<tr id="bib_govaert_m96b" class="bibtex noshow">
+<tr id="bib_govaert_m96a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m96b,
+@article{govaert_m96a,
-  author = {Govaert, G.},
+  author = {Govaert, G. and Nadif, N.},
-  title = {Analyse des donn{\'e}es multidimensionnelles by H. Rouanet et B. Le Roux (Book review)},
+  title = {Comparison of the mixture and the classification maximum likelihood in cluster analysis when data are binary},
-  journal = {Journal of Classification},
+  journal = {Computational Statistics and Data Analysis},
   year = {1996},
-  volume = {13},
+  volume = {23},
-  number = {1},
+  pages = {65-81}
-  pages = {173-174}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m96a" class="entry">
+<tr id="govaert_m96b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; N. Nadif.
-	  <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis when data are binary</B></I>.
-	  Computational Statistics and Data Analysis,&nbsp;
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Analyse des donn&eacute;es multidimensionnelles by H. Rouanet et B. Le Roux (Book review)</B></I>.
+	  Journal of Classification,&nbsp;
-        Volume 23,
+        Volume 13,
+        Number 1,
-	  Pages 65-81,
+	  Pages 173-174,
 .
-	  <a href="javascript:toggleInfo('govaert_m96a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m96b','bibtex')">[BibTeX]</a>
@@ Ligne 5958: / Ligne 7337: @@
       </td>
 </tr>
-<tr id="bib_govaert_m96a" class="bibtex noshow">
+<tr id="bib_govaert_m96b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m96a,
+@article{govaert_m96b,
-  author = {Govaert, G. and Nadif, N.},
+  author = {Govaert, G.},
-  title = {Comparison of the mixture and the classification maximum likelihood in cluster analysis when data are binary},
+  title = {Analyse des donn{\'e}es multidimensionnelles by H. Rouanet et B. Le Roux (Book review)},
-  journal = {Computational Statistics and Data Analysis},
+  journal = {Journal of Classification},
   year = {1996},
-  volume = {23},
+  volume = {13},
-  pages = {65-81}
+  number = {1},
+  pages = {173-174}
 }
 </pre></td>
 </tr>
 <tr id="nadif_m96" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif; F. Marchetti &amp; G. Govaert.
-	  <I><B>Approche vraisemblance et vraisemblance classifiante en classification de donn&eacute;es qualitatives</B></I>.
+<p class="infolinks">
+    M. Nadif; F. Marchetti &amp; G. Govaert.
+    <I><B>Approche vraisemblance et vraisemblance classifiante en classification de donn&eacute;es qualitatives</B></I>.
 	  XXVIII &egrave;mes Journ&eacute;es de Statistiques,&nbsp;
         Quebec (Canada),
@@ Ligne 6011: / Ligne 7394: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m95a" class="entry">
+    <td>
+    <h2>1995</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1995</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="ambroise_m95a" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G Govaert.
-        C. Ambroise &amp; G Govaert.
+    <I><B>Contiguity Constraints and the EM algorithm</B></I>.
-	  <I><B>Contiguity Constraints and the EM algorithm</B></I>.
 	  International Workshop on statistical Mixture Modelling,&nbsp;
         Aussois (France),
@@ Ligne 6064: / Ligne 7437: @@
 </tr>
 <tr id="ambroise_m95b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Self-Organisation for Gaussian Parsimonious Clustering</B></I>.
+<p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
+    <I><B>Self-Organisation for Gaussian Parsimonious Clustering</B></I>.
 	  Proceeding of ICANN1995,&nbsp;
         Paris,
@@ Ligne 6105: / Ligne 7481: @@
 </tr>
 <tr id="biernacki_m95" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Biernacki &amp; G Govaert.
-	  <I><B>Penalized Criterion and Model Selection for Clustering</B></I>.
+<p class="infolinks">
+    C. Biernacki &amp; G Govaert.
+    <I><B>Penalized Criterion and Model Selection for Clustering</B></I>.
 	  International Workshop on statistical Mixture Modelling,&nbsp;
         Aussois (France),
@@ Ligne 6144: / Ligne 7523: @@
 </tr>
 <tr id="celeux_m95" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Gaussian Parsimonious Clustering Models</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Gaussian Parsimonious Clustering Models</B></I>.
 	  Pattern Recognition,&nbsp;
@@ Ligne 6183: / Ligne 7565: @@
 </pre></td>
 </tr>
-<tr id="govaert_m95b" class="entry">
+<tr id="govaert_m95a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        J. Fechtenbaum; C. Roux; G Govaert; M. Dougados &amp; B. Amor.
-	  <I><B>Comparaison des param&egrave;tres morphom&eacute;triques dans les populations europ&eacute;ennes</B></I>.
-	  Revue du Rhumatisme, 62e ann&eacute;e,&nbsp;
-        Volume 10,
-        Number abstract B124,
-.
-	  <a href="javascript:toggleInfo('govaert_m95b','bibtex')">[BibTeX]</a>
-	  </p>
-      </td>
-</tr>
-<tr id="bib_govaert_m95b" class="bibtex noshow">
-<td colspan="6">
-<b>BibTeX</b>:
-<pre>
-@article{govaert_m95b,
-  author = {Fechtenbaum, J. and Roux, C. and Govaert, G and Dougados, M. and Amor, B.},
-  title = {Comparaison des param{\`e}tres morphom{\'e}triques dans les populations europ{\'e}ennes},
-  journal = {Revue du Rhumatisme, 62e ann{\'e}e},
-  year = {1995},
-  volume = {10},
-  number = {abstract B124}
-}
-</pre></td>
-</tr>
-<tr id="govaert_m95a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert.
+    <I><B>Simultaneous Clustering of Rows and Columns</B></I>.
-	  <I><B>Simultaneous Clustering of Rows and Columns</B></I>.
 	  Control and Cybernetics ,&nbsp;
@@ Ligne 6262: / Ligne 7608: @@
 </pre></td>
 </tr>
-<tr id="govaert_m95d" class="entry">
+<tr id="govaert_m95b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    J. Fechtenbaum; C. Roux; G Govaert; M. Dougados &amp; B. Amor.
-        G. Govaert.
+    <I><B>Comparaison des param&egrave;tres morphom&eacute;triques dans les populations europ&eacute;ennes</B></I>.
-	  <I><B>Gaussian Parsimonious Clustering Models</B></I>.
+	  Revue du Rhumatisme, 62e ann&eacute;e,&nbsp;
-	  International Workshop on statistical Mixture Modelling,&nbsp;
-        Aussois (France),
--21 Septembre,
+        Volume 10,
+        Number abstract B124,
@@ Ligne 6280: / Ligne 7629: @@
-	  <a href="javascript:toggleInfo('govaert_m95d','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m95b','bibtex')">[BibTeX]</a>
@@ Ligne 6287: / Ligne 7636: @@
       </td>
 </tr>
-<tr id="bib_govaert_m95d" class="bibtex noshow">
+<tr id="bib_govaert_m95b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m95d,
+@article{govaert_m95b,
-  author = {Govaert, G.},
+  author = {Fechtenbaum, J. and Roux, C. and Govaert, G and Dougados, M. and Amor, B.},
-  title = {Gaussian Parsimonious Clustering Models},
+  title = {Comparaison des param{\`e}tres morphom{\'e}triques dans les populations europ{\'e}ennes},
-  booktitle = {International Workshop on statistical Mixture Modelling},
+  journal = {Revue du Rhumatisme, 62e ann{\'e}e},
-  address = {Aussois (France)},
+  year = {1995},
-  month = {17-21 Septembre},
+  volume = {10},
-  year = {1995}
+  number = {abstract B124}
 }
 </pre></td>
 </tr>
 <tr id="govaert_m95c" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert &amp; M. Nadif.
-        G. Govaert &amp; M. Nadif.
+    <I><B>Clustering for binary data and mixture models. Choice of the model</B></I>.
-	  <I><B>Clustering for binary data and mixture models. Choice of the model</B></I>.
 th International Symposium on Applied Stochastic Models and Data Analysis,&nbsp;
         Dublin (Irlande),
@@ Ligne 6341: / Ligne 7693: @@
 </pre></td>
 </tr>
-<tr id="govaert_m95e" class="entry">
+<tr id="govaert_m95d" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert.
+    <I><B>Gaussian Parsimonious Clustering Models</B></I>.
+	  International Workshop on statistical Mixture Modelling,&nbsp;
+        Aussois (France),
+-21 Septembre,
+.
+	  <a href="javascript:toggleInfo('govaert_m95d','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m95d" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m95d,
+  author = {Govaert, G.},
+  title = {Gaussian Parsimonious Clustering Models},
+  booktitle = {International Workshop on statistical Mixture Modelling},
+  address = {Aussois (France)},
+  month = {17-21 Septembre},
+  year = {1995}
+}
+</pre></td>
+</tr>
+<tr id="govaert_m95e" class="entry">
+    <td>
+<p class="infolinks">
-        G. Govaert &amp; M. Van Dang.
+    G. Govaert &amp; M. Van Dang.
-	  <I><B>Classification et mod&egrave;les de m&eacute;lange, m&eacute;thode de d&eacute;tection du mod&egrave;le sous-jacent</B></I>.
+    <I><B>Classification et mod&egrave;les de m&eacute;lange, m&eacute;thode de d&eacute;tection du mod&egrave;le sous-jacent</B></I>.
 e Journ&eacute;es de la Soci&eacute;t&eacute; Francophones de Classification,&nbsp;
         Namur (Belgique),
@@ Ligne 6381: / Ligne 7778: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="ambroise_m94a" class="entry">
+    <td>
+    <h2>1994</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1994</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="ambroise_m94a" class="entry">
-	<td>
 <p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
-        C. Ambroise &amp; G. Govaert.
+    <I><B>Mapping Water Preserving Quality with Topology Preserving Algorithmms</B></I>.
-	  <I><B>Mapping Water Preserving Quality with Topology Preserving Algorithmms</B></I>.
 	  Conference on Environmetrics,&nbsp;
         Burlington (Canada),
@@ Ligne 6437: / Ligne 7821: @@
 </tr>
 <tr id="ambroise_m94b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        C. Ambroise &amp; G. Govaert.
-	  <I><B>Une Interpr&eacute;tation des Cartes Auto-organisatrices de Kohonen via l'Algorithme EM </B></I>.
+<p class="infolinks">
+    C. Ambroise &amp; G. Govaert.
+    <I><B>Une Interpr&eacute;tation des Cartes Auto-organisatrices de Kohonen via l'Algorithme EM </B></I>.
 	  Secondes Rencontres de la Soci&eacute;t&eacute; Francophone de Classification,&nbsp;
         Tours (France),
@@ Ligne 6476: / Ligne 7863: @@
 </tr>
 <tr id="celeux_m94a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Fuzzy Clustering and Mixture Models</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Fuzzy Clustering and Mixture Models</B></I>.
 	  COMPSTAT 1994,&nbsp;
         Vienne (Autriche),
@@ Ligne 6514: / Ligne 7904: @@
 </pre></td>
 </tr>
-<tr id="collin_m94a" class="entry">
+<tr id="celeux_m94b" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Gaussian Parsimonious Clustering Models</B></I>.
+	  Workshop on Mixture Modeling in Cluster Analysis and Times Series,&nbsp;
+        Seattle (USA),
+        july,
+	  Pages 181-203,
+	  University of Washington,
+.
+	  <a href="javascript:toggleInfo('celeux_m94b','bibtex')">[BibTeX]</a>
+	  </p>
+      </td>
+</tr>
+<tr id="bib_celeux_m94b" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{celeux_m94b,
+  author = {Celeux, G. and Govaert, G.},
+  title = {Gaussian Parsimonious Clustering Models},
+  booktitle = {Workshop on Mixture Modeling in Cluster Analysis and Times Series},
+  address = {Seattle (USA)},
+  month = {july},
+  publisher = {University of Washington},
+  year = {1994},
+  pages = {181-203}
+}
+</pre></td>
+</tr>
+<tr id="collin_m94a" class="entry">
+    <td>
+<p class="infolinks">
-        I. Collin; D. Meizel; N. Le Fort &amp; G. Govaert.
+    I. Collin; D. Meizel; N. Le Fort &amp; G. Govaert.
-	  <I><B>Local Map Design and Task Fonction Planning for Mobile Robots</B></I>.
+    <I><B>Local Map Design and Task Fonction Planning for Mobile Robots</B></I>.
 	  International Symposium on Intelligent Robotic System'94,&nbsp;
         Grenoble,
@@ Ligne 6554: / Ligne 7991: @@
 </tr>
 <tr id="collin_m94b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        I. Collin; D. Meizel; N. Le Fort &amp; G. Govaert.
-	  <I><B>Local Map Design and Task Fonction Planning for Mobile Robots</B></I>.
+<p class="infolinks">
+    I. Collin; D. Meizel; N. Le Fort &amp; G. Govaert.
+    <I><B>Local Map Design and Task Fonction Planning for Mobile Robots</B></I>.
 	  IROS'94,&nbsp;
         Munich (Allemagne),
@@ Ligne 6592: / Ligne 8032: @@
 </pre></td>
 </tr>
-<tr id="celeux_m94b" class="entry">
+<tr id="marchetti_m94" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        Celeux G. &amp; Govaert G..
-	  <I><B>Gaussian Parsimonious Clustering Models</B></I>.
-	  Workshop on Mixture Modeling in Cluster Analysis and Times Series,&nbsp;
-        Seattle (USA),
-        july,
-	  Pages 181-203,
-	  University of Washington,
-.
-	  <a href="javascript:toggleInfo('celeux_m94b','bibtex')">[BibTeX]</a>
-	  </p>
-      </td>
-</tr>
-<tr id="bib_celeux_m94b" class="bibtex noshow">
-<td colspan="6">
-<b>BibTeX</b>:
-<pre>
-@inproceedings{celeux_m94b,
-  author = {Celeux G. and Govaert G.},
-  title = {Gaussian Parsimonious Clustering Models},
-  booktitle = {Workshop on Mixture Modeling in Cluster Analysis and Times Series},
-  address = {Seattle (USA)},
-  month = {july},
-  publisher = {University of Washington},
-  year = {1994},
-  pages = {181-203}
-}
-</pre></td>
-</tr>
-<tr id="marchetti_m94" class="entry">
-	<td>
 <p class="infolinks">
+    F. Marchetti; M. Nadif &amp; G. Govaert.
-        F. Marchetti; M. Nadif &amp; G. Govaert.
+    <I><B>Comparaison de M&eacute;thodes de Classification de Donn&eacute;es Qualitatives Bas&eacute;es sur des Mod&egrave;les Probabilistes</B></I>.
-	  <I><B>Comparaison de M&eacute;thodes de Classification de Donn&eacute;es Qualitatives Bas&eacute;es sur des Mod&egrave;les Probabilistes</B></I>.
 	  XXVI &egrave;mes Journ&eacute;es de Statistiques,&nbsp;
         Neuch&acirc;tel (Suisse),
@@ Ligne 6672: / Ligne 8074: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="celeux_m93a" class="entry">
+    <td>
+    <h2>1993</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1993</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="celeux_m93a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Celeux &amp; G. Govaert.
-        G. Celeux &amp; G. Govaert.
+    <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis</B></I>.
-	  <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis</B></I>.
 	  J. Statist. Comput. Simul.,&nbsp;
@@ Ligne 6725: / Ligne 8117: @@
 </tr>
 <tr id="celeux_m93b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
 	  IFCS 93, 4th Conference of the International Federation of Classification Societies,&nbsp;
         Paris (France),
@@ Ligne 6763: / Ligne 8158: @@
 </tr>
 <tr id="celeux_m93c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 6802: / Ligne 8200: @@
 </tr>
 <tr id="govaert_m93a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M Nadif.
-	  <I><B>Comparaison des approches vraisemblance et vraisemblance Classifiante en Classification de donn&eacute;es binaires</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M Nadif.
+    <I><B>Comparaison des approches vraisemblance et vraisemblance Classifiante en Classification de donn&eacute;es binaires</B></I>.
 	  XXVi&egrave;mes Journ&eacute;es de Statistiques,&nbsp;
         Vannes (France),
@@ Ligne 6840: / Ligne 8241: @@
 </tr>
 <tr id="govaert_m93b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; M. Nadif.
-	  <I><B>Mod&egrave;les de m&eacute;langes binaires; approches vraisemblance et vraisemblance classifiante</B></I>.
+<p class="infolinks">
+    G. Govaert &amp; M. Nadif.
+    <I><B>Mod&egrave;les de m&eacute;langes binaires; approches vraisemblance et vraisemblance classifiante</B></I>.
 	  Rencontres Franco-Belges des statisticiens,&nbsp;
         Namur (Belgique),
@@ Ligne 6878: / Ligne 8282: @@
 </tr>
 <tr id="nadif_m93" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        M. Nadif &amp; G. Govaert.
-	  <I><B>Binary clustering with missing data</B></I>.
+<p class="infolinks">
+    M. Nadif &amp; G. Govaert.
+    <I><B>Binary clustering with missing data</B></I>.
 	  Applied Stochastic Models and Data Analysis,&nbsp;
@@ Ligne 6916: / Ligne 8323: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="celeux_m92a" class="entry">
+    <td>
+    <h2>1992</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1992</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="celeux_m92a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Celeux &amp; G. Govaert.
-        G. Celeux &amp; G. Govaert.
+    <I><B>A Classification EM Algorithm for Clustering and Two Stochastic Versions</B></I>.
-	  <I><B>A Classification EM Algorithm for Clustering and Two Stochastic Versions</B></I>.
 	  Computational Statistics and Data Analysis,&nbsp;
@@ Ligne 6971: / Ligne 8367: @@
 </tr>
 <tr id="celeux_m92b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>A Gaussian Parsimonious Clustering Model Allowing different size clusters</B></I>.
 th International Conference on Multivariate Analysis,&nbsp;
         Barcelone (Espagne),
@@ Ligne 7008: / Ligne 8407: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="celeux_m91a" class="entry">
+    <td>
+    <h2>1991</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1991</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="celeux_m91a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Celeux &amp; G. Govaert.
-        G. Celeux &amp; G. Govaert.
+    <I><B>Clustering Criteria for Discrete Data and Latent Class Models</B></I>.
-	  <I><B>Clustering Criteria for Discrete Data and Latent Class Models</B></I>.
 	  Journal of Classification,&nbsp;
@@ Ligne 7063: / Ligne 8451: @@
 </tr>
 <tr id="celeux_m91b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Practical Behaviour of a penalized CML criterion for clustering small samples</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Practical Behaviour of a penalized CML criterion for clustering small samples</B></I>.
 	  IFCS 91, 3th Conference of the International Federation of Classification Societies,&nbsp;
         Edimbourg (Scotland),
@@ Ligne 7101: / Ligne 8492: @@
 </tr>
 <tr id="celeux_m91c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>A classification EM algorithm for clustering and two stochastic versions</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>A classification EM algorithm for clustering and two stochastic versions</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 7140: / Ligne 8534: @@
 </tr>
 <tr id="celeux_m91d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Comparison of the mixture and the classification maximum likelihood in cluster analysis</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 7178: / Ligne 8575: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="celeux_m90" class="entry">
+    <td>
+    <h2>1990</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>1990</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="celeux_m90" class="entry">
-	<td>
 <p class="infolinks">
+    G. Celeux &amp; G. Govaert.
-        G. Celeux &amp; G. Govaert.
+    <I><B>Stochastic Algorithms for Clustering</B></I>.
-	  <I><B>Stochastic Algorithms for Clustering</B></I>.
 	  Compstat 2000, Prodeedings in Computational Statistics, 14th Symposium,&nbsp;
         Dubrovnik,
@@ Ligne 7230: / Ligne 8617: @@
 </tr>
 <tr id="govaert_m90a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification binaire et mod&egrave;les</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification binaire et mod&egrave;les</B></I>.
 	  Revue de Statistique Appliqu&eacute;e,&nbsp;
@@ Ligne 7270: / Ligne 8660: @@
 </tr>
 <tr id="govaert_m90b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Mod&egrave;le de classification et distance dans le cas discret</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Mod&egrave;le de classification et distance dans le cas discret</B></I>.
 	  ,&nbsp;
         Compi&egrave;gne, France,
@@ Ligne 7306: / Ligne 8699: @@
 </pre></td>
 </tr>
-</tbody>
+<tr id="celeux_m89a" class="entry">
+    <td>
+    <h2>1989</h2> <br />
-    </table>
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <!--=======================================================================================================-->
-    <h3>Before 1990</h3>
-    <table id="qstable" border="0">
-<tbody><tr id="celeux_m89a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Celeux; E. Diday; G. Govaert; Y. Lechevallier &amp; H. Ralambondrainy.
-        G. Celeux; E. Diday; G. Govaert; Y. Lechevallier &amp; H. Ralambondrainy.
+    <I><B> Classification automatique des donn&eacute;es : environnement statistique et informatique </B></I>.
-	  <I><B> Classification automatique des donn&eacute;es : environnement statistique et informatique </B></I>.
 	  ,&nbsp;
         Paris,
@@ Ligne 7359: / Ligne 8741: @@
 </tr>
 <tr id="celeux_m89b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Clustering Criteria for Discrete Data and Latent Class Models</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Clustering Criteria for Discrete Data and Latent Class Models</B></I>.
 	  IFCS 89, 2th Conference of the International Federation of Classification Societies,&nbsp;
         Charlottsville (USA),
@@ Ligne 7397: / Ligne 8782: @@
 </tr>
 <tr id="celeux_m89c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Celeux &amp; G. Govaert.
-	  <I><B>Clustering criteria for discrete data and latent class models</B></I>.
+<p class="infolinks">
+    G. Celeux &amp; G. Govaert.
+    <I><B>Clustering criteria for discrete data and latent class models</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
@@ Ligne 7435: / Ligne 8823: @@
 </pre></td>
 </tr>
-<tr id="diday_m77" class="entry">
+<tr id="govaert_m89a" class="entry">
-	<td>
+    <td>
 <p class="infolinks">
+    G. Govaert.
-        E. Diday &amp; G. Govaert.
+    <I><B>La classification crois&eacute;e</B></I>.
-	  <I><B>Classification automatique avec distances adaptatives</B></I>.
+	  La revue de Modulad,&nbsp;
-	  RAIRO Informatique/Computer Science,&nbsp;
+        D&eacute;cembre,
+        Volume 4,
-        Volume 11,
+	  Pages 9-36,
-        Number 4,
-	  Pages 329-349,
 .
-	  <a href="javascript:toggleInfo('diday_m77','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m89a','bibtex')">[BibTeX]</a>
@@ Ligne 7460: / Ligne 8851: @@
       </td>
 </tr>
-<tr id="bib_diday_m77" class="bibtex noshow">
+<tr id="bib_govaert_m89a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{diday_m77,
+@article{govaert_m89a,
-  author = {Diday, E. and Govaert, G.},
+  author = {Govaert, G.},
-  title = {Classification automatique avec distances adaptatives},
+  title = {La classification crois{\'e}e},
-  journal = {RAIRO Informatique/Computer Science},
+  month = {D{\'e}cembre},
-  year = {1977},
+  journal = {La revue de Modulad},
-  volume = {11},
+  year = {1989},
-  number = {4},
+  volume = {4},
-  pages = {329-349}
+  pages = {9-36}
 }
 </pre></td>
 </tr>
-<tr id="diday_m76" class="entry">
+<tr id="govaert_m89b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        E. Diday &amp; G. Govaert.
-	  <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
-	  Computer Oriented Learning Processes,&nbsp;
-        Leyden,
-        Nato Advanced Study Institutes Series, series E: Applied Science,
-        Volume 9,
-        Number 14,
-	  Pages 299-320,
-	  Noordhoff,
-.
-	  <a href="javascript:toggleInfo('diday_m76','bibtex')">[BibTeX]</a>
-	  </p>
-      </td>
-</tr>
-<tr id="bib_diday_m76" class="bibtex noshow">
-<td colspan="6">
-<b>BibTeX</b>:
-<pre>
-@inproceedings{diday_m76,
-  author = {Diday, E. and Govaert, G.},
-  title = {Apprentissage et mesures de ressemblance adaptatives},
-  booktitle = {Computer Oriented Learning Processes},
-  address = {Leyden},
-  publisher = {Noordhoff},
-  year = {1976},
-  series = {Nato Advanced Study Institutes Series, series E: Applied Science},
-  volume = {9},
-  number = {14},
-  pages = {299-320}
-}
-</pre></td>
-</tr>
-<tr id="diday_m74a" class="entry">
-	<td>
 <p class="infolinks">
+    G. Govaert.
-        E. Diday &amp; G. Govaert.
+    <I><B>Clustering Model and Metric with Continuous Data</B></I>.
-	  <I><B>Classification avec distance adaptative</B></I>.
+	  Data Analysis, Learning Symbolic and Numeric Knowledge,&nbsp;
-	  C. R. Acad. Sc. Paris, s&eacute;rie A,&nbsp;
+        New York,
-        Volume 278,
-	  Pages 993-995,
+	  Pages 95-102,
+	  Nova Science Publishers, Inc.,
 .
-	  <a href="javascript:toggleInfo('diday_m74a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m89b','bibtex')">[BibTeX]</a>
@@ Ligne 7543: / Ligne 8894: @@
       </td>
 </tr>
-<tr id="bib_diday_m74a" class="bibtex noshow">
+<tr id="bib_govaert_m89b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{diday_m74a,
+@inproceedings{govaert_m89b,
-  author = {Diday, E. and Govaert, G.},
+  author = {Govaert, G.},
-  title = {Classification avec distance adaptative},
+  title = {Clustering Model and Metric with Continuous Data},
-  journal = {C. R. Acad. Sc. Paris, s{\'e}rie A},
+  booktitle = {Data Analysis, Learning Symbolic and Numeric Knowledge},
-  year = {1974},
+  address = {New York},
-  volume = {278},
+  publisher = {Nova Science Publishers, Inc.},
-  pages = {993-995}
+  year = {1989},
+  pages = {95-102}
 }
 </pre></td>
 </tr>
-<tr id="diday_m74b" class="entry">
+<tr id="govaert_m89d" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        E. Diday &amp; G. Govaert.
-	  <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
-	  Nato Advanced Study Institutes Series on Computer Oriented Learning Processes,&nbsp;
+<p class="infolinks">
-        Bonas,
-        Septembre,
+    G. Govaert &amp; F. Marchetti.
+    <I><B>Classification binaire et mod&egrave;le probabiliste</B></I>.
+	  XXIe Journ&eacute;es de Statistiques,&nbsp;
+        Rennes,
@@ Ligne 7572: / Ligne 8927: @@
 .
-	  <a href="javascript:toggleInfo('diday_m74b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m89d','bibtex')">[BibTeX]</a>
@@ Ligne 7582: / Ligne 8937: @@
       </td>
 </tr>
-<tr id="bib_diday_m74b" class="bibtex noshow">
+<tr id="bib_govaert_m89d" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@proceedings{diday_m74b,
+@inproceedings{govaert_m89d,
-  author = {Diday, E. and Govaert, G.},
+  author = {Govaert, G. and Marchetti, F.},
-  title = {Apprentissage et mesures de ressemblance adaptatives},
+  title = {Classification binaire et mod{\`e}le probabiliste},
-  booktitle = {Nato Advanced Study Institutes Series on Computer Oriented Learning Processes},
+  booktitle = {XXIe Journ{\'e}es de Statistiques},
-  address = {Bonas},
+  address = {Rennes},
-  month = {Septembre},
+  year = {1989}
-  year = {1974}
 }
 </pre></td>
 </tr>
-<tr id="diday_m74c" class="entry">
+<tr id="govaert_m89e" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        E. Diday &amp; G. Govaert.
-	  <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Mod&egrave;le de classification et distance dans le cas continu</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
-        Novembre,
+        Mars,
-        Number 89,
+        Number 988,
 .
-	  <a href="javascript:toggleInfo('diday_m74c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m89e','bibtex')">[BibTeX]</a>
@@ Ligne 7621: / Ligne 8978: @@
       </td>
 </tr>
-<tr id="bib_diday_m74c" class="bibtex noshow">
+<tr id="bib_govaert_m89e" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@techreport{diday_m74c,
+@techreport{govaert_m89e,
-  author = {Diday, E. and Govaert, G.},
+  author = {Govaert,G.},
-  title = {Apprentissage et mesures de ressemblance adaptatives},
+  title = {Mod{\`e}le de classification et distance dans le cas continu},
   address = {Le Chesnay, France},
-  month = {Novembre},
+  month = {Mars},
-  year = {1974},
+  year = {1989},
-  number = {89}
+  number = {988}
 }
 </pre></td>
 </tr>
-<tr id="diday_m80a" class="entry">
+<tr id="govaert_m88a" class="entry">
-	<td>
+    <td>
+    <h2>1988</h2> <br />
 <p class="infolinks">
+    G. Govaert &amp; F. Marchetti.
-        E Diday; G. Govaert; Y. Lechevallier &amp; J. Sidi.
+    <I><B>Classification de donn&eacute;es binaires et mesure d'information</B></I>.
-	  <I><B>Clustering in Pattern Recognition</B></I>.
+	  XXIe Journ&eacute;es de Statistiques,&nbsp;
-	  NATO Conference Series, (Series) 4: Marine Sciences,&nbsp;
+        Grenoble,
-        Holland,
-        July,
-	  Pages 424-429,
-	  Dordrecht,
-.
+.
-	  <a href="javascript:toggleInfo('diday_m80a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m88a','bibtex')">[BibTeX]</a>
@@ Ligne 7660: / Ligne 9020: @@
       </td>
 </tr>
-<tr id="bib_diday_m80a" class="bibtex noshow">
+<tr id="bib_govaert_m88a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{diday_m80a,
+@inproceedings{govaert_m88a,
-  author = {Diday, E and Govaert, G. and Lechevallier, Y. and Sidi, J.},
+  author = {Govaert, G. and Marchetti, F.},
-  title = {Clustering in Pattern Recognition},
+  title = {Classification de donn{\'e}es binaires et mesure d'information},
-  booktitle = {NATO Conference Series, (Series) 4: Marine Sciences},
+  booktitle = {XXIe Journ{\'e}es de Statistiques},
-  address = {Holland},
+  address = {Grenoble},
-  month = {July},
+  year = {1988}
-  publisher = {Dordrecht},
-  year = {1980},
-  pages = {424-429}
 }
 </pre></td>
 </tr>
-<tr id="diday_m80b" class="entry">
+<tr id="govaert_m88b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        E Diday; G. Govaert; Y. Lechevallier &amp; J. Sidi.
-	  <I><B>Clustering in Pattern Recognition</B></I>.
-	  Fourth International Joint Conference on Pattern Recognition,&nbsp;
+<p class="infolinks">
-        Miami,
+    G. Govaert &amp; F. Marchetti.
+    <I><B>Mod&egrave;le de classification et distance dans le cas discret</B></I>.
+	  ,&nbsp;
+        Metz, France,
-	  Pages 284-290,
-.
+.
-	  <a href="javascript:toggleInfo('diday_m80b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m88b','bibtex')">[BibTeX]</a>
@@ Ligne 7701: / Ligne 9061: @@
       </td>
 </tr>
-<tr id="bib_diday_m80b" class="bibtex noshow">
+<tr id="bib_govaert_m88b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{diday_m80b,
+@techreport{govaert_m88b,
-  author = {Diday, E and Govaert, G. and Lechevallier, Y. and Sidi, J.},
+  author = {Govaert, G. and Marchetti, F.},
-  title = {Clustering in Pattern Recognition},
+  title = {Mod{\`e}le de classification et distance dans le cas discret},
-  booktitle = {Fourth International Joint Conference on Pattern Recognition},
+  address = {Metz, France},
-  address = {Miami},
+  year = {1988}
-  year = {1980},
-  pages = {284-290}
 }
 </pre></td>
 </tr>
-<tr id="diday_m78" class="entry">
+<tr id="govaert_m88c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        E Diday; G. Govaert &amp; Lemoine Y..
-	  <I><B>A new kind of representation in clustering</B></I>.
-	  Fourth International Joint Conference on Pattern Recognition,&nbsp;
+<p class="infolinks">
-        Kyoto,
+    G. Govaert &amp; F. Marchetti.
+    <I><B>Classification binaire et Mod&egrave;le</B></I>.
+	  ,&nbsp;
+        Le Chesnay, France,
+        Decembre,
-	  Pages 284-290,
+        Number 949,
-.
+.
-	  <a href="javascript:toggleInfo('diday_m78','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m88c','bibtex')">[BibTeX]</a>
@@ Ligne 7740: / Ligne 9101: @@
       </td>
 </tr>
-<tr id="bib_diday_m78" class="bibtex noshow">
+<tr id="bib_govaert_m88c" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{diday_m78,
+@techreport{govaert_m88c,
-  author = {Diday, E and Govaert, G. and Lemoine Y.},
+  author = {Govaert, G. and Marchetti, F.},
-  title = {A new kind of representation in clustering},
+  title = {Classification binaire et Mod\`ele},
-  booktitle = {Fourth International Joint Conference on Pattern Recognition},
+  address = {Le Chesnay, France},
-  address = {Kyoto},
+  month = {Decembre},
-  year = {1978},
+  year = {1988},
-  pages = {284-290}
+  number = {949}
 }
 </pre></td>
 </tr>
-<tr id="diday_m79" class="entry">
+<tr id="govaert_m87" class="entry">
-	<td>
+    <td>
+    <h2>1987</h2> <br />
 <p class="infolinks">
+    G. Govaert &amp; F. Marchetti.
-        Diday, E. et Collaborateurs.
+    <I><B>Classification de donn&eacute;es binaires et qualitatives</B></I>.
-	  <I><B>Optimisation et classification automatique</B></I>.
+	  XIXe Journ&eacute;es de Statistiques,&nbsp;
-	  ,&nbsp;
+        Lausanne,
-        Rocquencourt,
@@ Ligne 7768: / Ligne 9132: @@
-	  INRIA,
 .
-	  <a href="javascript:toggleInfo('diday_m79','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m87','bibtex')">[BibTeX]</a>
@@ Ligne 7779: / Ligne 9143: @@
       </td>
 </tr>
-<tr id="bib_diday_m79" class="bibtex noshow">
+<tr id="bib_govaert_m87" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@book{diday_m79,
+@inproceedings{govaert_m87,
-  author = {{Diday, E. et Collaborateurs}},
+  author = {Govaert, G. and Marchetti, F.},
-  title = {Optimisation et classification automatique},
+  title = {Classification de donn\'ees binaires et qualitatives},
-  address = {Rocquencourt},
+  booktitle = {XIXe Journ\'ees de Statistiques},
-  publisher = {INRIA},
+  address = {Lausanne},
-  year = {1979}
+  year = {1987}
 }
 </pre></td>
 </tr>
-<tr id="facy_m82b" class="entry">
+<tr id="lechevallier_m86" class="entry">
-	<td>
+    <td>
+    <h2>1986</h2> <br />
 <p class="infolinks">
+    Y. Lechevallier; H. Ralambondrainy &amp; G. Govaert.
-        F. Facy; G. Govaert &amp; F. Davidson.
+    <I><B>Le syst&egrave;me SICLA : principe et architecture</B></I>.
-	  <I><B>Analyse Typologique de Donn&eacute;es Qualitatives en Epid&eacute;miologie du petit enfant</B></I>.
+	  ,&nbsp;
-	  XIVe Journ&eacute;es de Statistiques,&nbsp;
+        Le Chesnay, France,
-        Bruselles (Belgique),
+        Mars,
+        Number 500,
 .
-	  <a href="javascript:toggleInfo('facy_m82b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('lechevallier_m86','bibtex')">[BibTeX]</a>
@@ Ligne 7817: / Ligne 9184: @@
       </td>
 </tr>
-<tr id="bib_facy_m82b" class="bibtex noshow">
+<tr id="bib_lechevallier_m86" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{facy_m82b,
+@techreport{lechevallier_m86,
-  author = {Facy, F. and Govaert, G. and Davidson, F.},
+  author = {Lechevallier, Y. and Ralambondrainy, H. and Govaert, G.},
-  title = {Analyse Typologique de Donn\'ees Qualitatives en Epid\'emiologie du petit enfant},
+  title = {Le syst{\`e}me {SICLA} : principe et architecture},
-  booktitle = {XIVe Journ\'ees de Statistiques},
+  address = {Le Chesnay, France},
-  address = {Bruselles (Belgique)},
+  month = {Mars},
-  year = {1982}
+  year = {1986},
+  number = {500}
 }
 </pre></td>
 </tr>
 <tr id="facy_m84" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
+    <h2>1984</h2> <br />
+<p class="infolinks">
-        F. Facy; G. Govaert &amp; F. Laurent.
+    F. Facy; G. Govaert &amp; F. Laurent.
-	  <I><B>Analyse typologique de donn&eacute;es chronologiques en sant&eacute; publique</B></I>.
+    <I><B>Analyse typologique de donn&eacute;es chronologiques en sant&eacute; publique</B></I>.
 	  Revue de Statistique Appliqu&eacute;e,&nbsp;
@@ Ligne 7870: / Ligne 9241: @@
 </pre></td>
 </tr>
-<tr id="facy_m82a" class="entry">
+<tr id="govaert_m84a" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        F. Facy; G. Govaert &amp; F. Laurent.
-	  <I><B>Analyse Typologique de Donn&eacute;es Qualitatives Chronologiques en Sant&eacute; Publique</B></I>.
-	  XIIe Journ&eacute;es de Statistiques,&nbsp;
+<p class="infolinks">
-        Bruselles (Belgique),
+    G. Govaert.
+    <I><B>Classification simultan&eacute;e de tableaux binaires</B></I>.
+	  Data analysis and informatics 3,&nbsp;
+        Amsterdam,
+	  Pages 223-236,
+	  North-Holland,
 .
-	  <a href="javascript:toggleInfo('facy_m82a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m84a','bibtex')">[BibTeX]</a>
@@ Ligne 7895: / Ligne 9269: @@
       </td>
 </tr>
-<tr id="bib_facy_m82a" class="bibtex noshow">
+<tr id="bib_govaert_m84a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{facy_m82a,
+@inproceedings{govaert_m84a,
-  author = {Facy, F. and Govaert, G. and Laurent, F.},
+  author = {Govaert, G.},
-  title = {Analyse Typologique de Donn\'ees Qualitatives Chronologiques en Sant\'e Publique},
+  title = {Classification simultan\'ee de tableaux binaires},
-  booktitle = {XIIe Journ\'ees de Statistiques},
+  booktitle = {Data analysis and informatics 3},
-  address = {Bruselles (Belgique)},
+  address = {Amsterdam},
-  year = {1982}
+  publisher = {North-Holland},
+  year = {1984},
+  pages = {223-236}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m89a" class="entry">
+<tr id="govaert_m84b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>La classification crois&eacute;e</B></I>.
-	  La revue de Modulad,&nbsp;
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification crois&eacute;e de questionnaires</B></I>.
+	  XVIe Journ&eacute;es de Statistiques,&nbsp;
+        Montpellier,
-        D&eacute;cembre,
-        Volume 4,
-	  Pages 9-36,
-.
+.
-	  <a href="javascript:toggleInfo('govaert_m89a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m84b','bibtex')">[BibTeX]</a>
@@ Ligne 7933: / Ligne 9312: @@
       </td>
 </tr>
-<tr id="bib_govaert_m89a" class="bibtex noshow">
+<tr id="bib_govaert_m84b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@article{govaert_m89a,
+@inproceedings{govaert_m84b,
   author = {Govaert, G.},
-  title = {La classification crois{\'e}e},
+  title = {Classification crois\'ee de questionnaires},
-  month = {D{\'e}cembre},
+  booktitle = {XVIe Journ\'ees de Statistiques},
-  journal = {La revue de Modulad},
+  address = {Montpellier},
-  year = {1989},
+  year = {1984}
-  volume = {4},
-  pages = {9-36}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m89b" class="entry">
+<tr id="govaert_m83" class="entry">
-	<td>
+    <td>
+    <h2>1983</h2> <br />
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert.
+    <I><B>Classification crois&eacute;e</B></I>.
-	  <I><B>Clustering Model and Metric with Continuous Data</B></I>.
+	  <i>School</i>: Universit&eacute; Paris 6,&nbsp;
-	  Data Analysis, Learning Symbolic and Numeric Knowledge,&nbsp;
+        France,
-        New York,
-	  Pages 95-102,
-	  Nova Science Publishers, Inc.,
 .
-	  <a href="javascript:toggleInfo('govaert_m89b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m83','bibtex')">[BibTeX]</a>
@@ Ligne 7973: / Ligne 9353: @@
       </td>
 </tr>
-<tr id="bib_govaert_m89b" class="bibtex noshow">
+<tr id="bib_govaert_m83" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m89b,
+@phdthesis{govaert_m83,
   author = {Govaert, G.},
-  title = {Clustering Model and Metric with Continuous Data},
+  title = {Classification crois\'ee},
-  booktitle = {Data Analysis, Learning Symbolic and Numeric Knowledge},
+  address = {France},
-  address = {New York},
+  school = {Universit\'e Paris 6},
-  publisher = {Nova Science Publishers, Inc.},
+  year = {1983}
-  year = {1989},
-  pages = {95-102}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m89e" class="entry">
+<tr id="facy_m82a" class="entry">
-	<td>
+    <td>
+    <h2>1982</h2> <br />
 <p class="infolinks">
+    F. Facy; G. Govaert &amp; F. Laurent.
-        G. Govaert.
+    <I><B>Analyse Typologique de Donn&eacute;es Qualitatives Chronologiques en Sant&eacute; Publique</B></I>.
-	  <I><B>Mod&egrave;le de classification et distance dans le cas continu</B></I>.
+	  XIIe Journ&eacute;es de Statistiques,&nbsp;
-	  ,&nbsp;
+        Bruselles (Belgique),
-        Le Chesnay, France,
-        Mars,
-        Number 988,
 .
-	  <a href="javascript:toggleInfo('govaert_m89e','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('facy_m82a','bibtex')">[BibTeX]</a>
@@ Ligne 8013: / Ligne 9394: @@
       </td>
 </tr>
-<tr id="bib_govaert_m89e" class="bibtex noshow">
+<tr id="bib_facy_m82a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@techreport{govaert_m89e,
+@inproceedings{facy_m82a,
-  author = {Govaert,G.},
+  author = {Facy, F. and Govaert, G. and Laurent, F.},
-  title = {Mod{\`e}le de classification et distance dans le cas continu},
+  title = {Analyse Typologique de Donn\'ees Qualitatives Chronologiques en Sant\'e Publique},
-  address = {Le Chesnay, France},
+  booktitle = {XIIe Journ\'ees de Statistiques},
-  month = {Mars},
+  address = {Bruselles (Belgique)},
-  year = {1989},
+  year = {1982}
-  number = {988}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m84a" class="entry">
+<tr id="facy_m82b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification simultan&eacute;e de tableaux binaires</B></I>.
-	  Data analysis and informatics 3,&nbsp;
+<p class="infolinks">
-        Amsterdam,
+    F. Facy; G. Govaert &amp; F. Davidson.
+    <I><B>Analyse Typologique de Donn&eacute;es Qualitatives en Epid&eacute;miologie du petit enfant</B></I>.
+	  XIVe Journ&eacute;es de Statistiques,&nbsp;
+        Bruselles (Belgique),
-	  Pages 223-236,
-	  North-Holland,
 .
-	  <a href="javascript:toggleInfo('govaert_m84a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('facy_m82b','bibtex')">[BibTeX]</a>
@@ Ligne 8052: / Ligne 9435: @@
       </td>
 </tr>
-<tr id="bib_govaert_m84a" class="bibtex noshow">
+<tr id="bib_facy_m82b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m84a,
+@inproceedings{facy_m82b,
-  author = {Govaert, G.},
+  author = {Facy, F. and Govaert, G. and Davidson, F.},
-  title = {Classification simultan\'ee de tableaux binaires},
+  title = {Analyse Typologique de Donn\'ees Qualitatives en Epid\'emiologie du petit enfant},
-  booktitle = {Data analysis and informatics 3},
+  booktitle = {XIVe Journ\'ees de Statistiques},
-  address = {Amsterdam},
+  address = {Bruselles (Belgique)},
-  publisher = {North-Holland},
+  year = {1982}
-  year = {1984},
-  pages = {223-236}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m84b" class="entry">
+<tr id="facy_m81" class="entry">
-	<td>
+    <td>
+    <h2>1981</h2> <br />
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert.
+    <I><B>Classification automatique et analyse factorielle</B></I>.
-	  <I><B>Classification crois&eacute;e de questionnaires</B></I>.
+	  XIIIe Journ&eacute;es de Statistiques,&nbsp;
-	  XVIe Journ&eacute;es de Statistiques,&nbsp;
+        Nancy,
-        Montpellier,
@@ Ligne 8082: / Ligne 9466: @@
 .
-	  <a href="javascript:toggleInfo('govaert_m84b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('facy_m81','bibtex')">[BibTeX]</a>
@@ Ligne 8092: / Ligne 9476: @@
       </td>
 </tr>
-<tr id="bib_govaert_m84b" class="bibtex noshow">
+<tr id="bib_facy_m81" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m84b,
+@inproceedings{facy_m81,
   author = {Govaert, G.},
-  title = {Classification crois\'ee de questionnaires},
+  title = {Classification automatique et analyse factorielle},
-  booktitle = {XVIe Journ\'ees de Statistiques},
+  booktitle = {XIIIe Journ\'ees de Statistiques},
-  address = {Montpellier},
+  address = {Nancy},
-  year = {1984}
+  year = {1981}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m83" class="entry">
+<tr id="diday_m80a" class="entry">
-	<td>
+    <td>
+    <h2>1980</h2> <br />
 <p class="infolinks">
+    E Diday; G. Govaert; Y. Lechevallier &amp; J. Sidi.
-        G. Govaert.
+    <I><B>Clustering in Pattern Recognition</B></I>.
-	  <I><B>Classification crois&eacute;e</B></I>.
+	  NATO Conference Series, (Series) 4: Marine Sciences,&nbsp;
-	  <i>School</i>: Universit&eacute; Paris 6,&nbsp;
+        Holland,
-        France,
+        July,
+	  Pages 424-429,
+	  Dordrecht,
+.
-.
-	  <a href="javascript:toggleInfo('govaert_m83','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m80a','bibtex')">[BibTeX]</a>
@@ Ligne 8130: / Ligne 9517: @@
       </td>
 </tr>
-<tr id="bib_govaert_m83" class="bibtex noshow">
+<tr id="bib_diday_m80a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@phdthesis{govaert_m83,
+@inproceedings{diday_m80a,
-  author = {Govaert, G.},
+  author = {Diday, E and Govaert, G. and Lechevallier, Y. and Sidi, J.},
-  title = {Classification crois\'ee},
+  title = {Clustering in Pattern Recognition},
-  address = {France},
+  booktitle = {NATO Conference Series, (Series) 4: Marine Sciences},
-  school = {Universit\'e Paris 6},
+  address = {Holland},
-  year = {1983}
+  month = {July},
+  publisher = {Dordrecht},
+  year = {1980},
+  pages = {424-429}
 }
 </pre></td>
 </tr>
-<tr id="facy_m81" class="entry">
+<tr id="diday_m80b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification automatique et analyse factorielle</B></I>.
-	  XIIIe Journ&eacute;es de Statistiques,&nbsp;
+<p class="infolinks">
-        Nancy,
+    E Diday; G. Govaert; Y. Lechevallier &amp; J. Sidi.
+    <I><B>Clustering in Pattern Recognition</B></I>.
+	  Fourth International Joint Conference on Pattern Recognition,&nbsp;
+        Miami,
+	  Pages 284-290,
+.
-.
-	  <a href="javascript:toggleInfo('facy_m81','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m80b','bibtex')">[BibTeX]</a>
@@ Ligne 8168: / Ligne 9561: @@
       </td>
 </tr>
-<tr id="bib_facy_m81" class="bibtex noshow">
+<tr id="bib_diday_m80b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{facy_m81,
+@inproceedings{diday_m80b,
-  author = {Govaert, G.},
+  author = {Diday, E and Govaert, G. and Lechevallier, Y. and Sidi, J.},
-  title = {Classification automatique et analyse factorielle},
+  title = {Clustering in Pattern Recognition},
-  booktitle = {XIIIe Journ\'ees de Statistiques},
+  booktitle = {Fourth International Joint Conference on Pattern Recognition},
-  address = {Nancy},
+  address = {Miami},
-  year = {1981}
+  year = {1980},
+  pages = {284-290}
 }
 </pre></td>
 </tr>
 <tr id="govaert_m80" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert.
-	  <I><B>Classification dans le temps</B></I>.
+<p class="infolinks">
+    G. Govaert.
+    <I><B>Classification dans le temps</B></I>.
 	  Xe Journ&eacute;es de Statistiques,&nbsp;
         Toulouse,
@@ Ligne 8219: / Ligne 9616: @@
 </pre></td>
 </tr>
-<tr id="govaert_m77" class="entry">
+<tr id="diday_m79" class="entry">
-	<td>
+    <td>
+    <h2>1979</h2> <br />
 <p class="infolinks">
+    Diday, E. et Collaborateurs.
-        G. Govaert.
+    <I><B>Optimisation et classification automatique</B></I>.
-	  <I><B>Algorithme de classification d'un tableau de contingence</B></I>.
+	  ,&nbsp;
-	  First international symposium on data analysis and informatics,&nbsp;
+        Rocquencourt,
-        Versailles,
-	  Pages 487-500,
 	  INRIA,
 .
-	  <a href="javascript:toggleInfo('govaert_m77','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m79','bibtex')">[BibTeX]</a>
@@ Ligne 8244: / Ligne 9644: @@
       </td>
 </tr>
-<tr id="bib_govaert_m77" class="bibtex noshow">
+<tr id="bib_diday_m79" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m77,
+@book{diday_m79,
-  author = {Govaert, G.},
+  author = {{Diday, E. et Collaborateurs}},
-  title = {Algorithme de classification d'un tableau de contingence},
+  title = {Optimisation et classification automatique},
-  booktitle = {First international symposium on data analysis and informatics},
+  address = {Rocquencourt},
-  address = {Versailles},
   publisher = {INRIA},
-  year = {1977},
+  year = {1979}
-  pages = {487-500}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m75" class="entry">
+<tr id="diday_m78" class="entry">
-	<td>
+    <td>
+    <h2>1978</h2> <br />
 <p class="infolinks">
+    E Diday; G. Govaert &amp; Lemoine Y..
-        G. Govaert.
+    <I><B>A new kind of representation in clustering</B></I>.
-	  <I><B>Classification automatique et distances adaptatives</B></I>.
+	  Fourth International Joint Conference on Pattern Recognition,&nbsp;
-	  <i>School</i>: Universit&eacute; Paris 6,&nbsp;
+        Kyoto,
-        France,
+	  Pages 284-290,
+.
-.
-	  <a href="javascript:toggleInfo('govaert_m75','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m78','bibtex')">[BibTeX]</a>
@@ Ligne 8284: / Ligne 9685: @@
       </td>
 </tr>
-<tr id="bib_govaert_m75" class="bibtex noshow">
+<tr id="bib_diday_m78" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@phdthesis{govaert_m75,
+@inproceedings{diday_m78,
-  author = {Govaert, G.},
+  author = {Diday, E and Govaert, G. and Lemoine Y.},
-  title = {Classification automatique et distances adaptatives},
+  title = {A new kind of representation in clustering},
-  address = {France},
+  booktitle = {Fourth International Joint Conference on Pattern Recognition},
-  school = {Universit{\'e} Paris 6},
+  address = {Kyoto},
-  year = {1975}
+  year = {1978},
+  pages = {284-290}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m89d" class="entry">
+<tr id="diday_m77" class="entry">
-	<td>
+    <td>
+    <h2>1977</h2> <br />
 <p class="infolinks">
+    E. Diday &amp; G. Govaert.
-        G. Govaert &amp; F. Marchetti.
+    <I><B>Classification automatique avec distances adaptatives</B></I>.
-	  <I><B>Classification binaire et mod&egrave;le probabiliste</B></I>.
+	  RAIRO Informatique/Computer Science,&nbsp;
-	  XXIe Journ&eacute;es de Statistiques,&nbsp;
-        Rennes,
+        Volume 11,
+        Number 4,
+	  Pages 329-349,
 .
-	  <a href="javascript:toggleInfo('govaert_m89d','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m77','bibtex')">[BibTeX]</a>
@@ Ligne 8322: / Ligne 9727: @@
       </td>
 </tr>
-<tr id="bib_govaert_m89d" class="bibtex noshow">
+<tr id="bib_diday_m77" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m89d,
+@article{diday_m77,
-  author = {Govaert, G. and Marchetti, F.},
+  author = {Diday, E. and Govaert, G.},
-  title = {Classification binaire et mod{\`e}le probabiliste},
+  title = {Classification automatique avec distances adaptatives},
-  booktitle = {XXIe Journ{\'e}es de Statistiques},
+  journal = {RAIRO Informatique/Computer Science},
-  address = {Rennes},
+  year = {1977},
-  year = {1989}
+  volume = {11},
+  number = {4},
+  pages = {329-349}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m88a" class="entry">
+<tr id="govaert_m77" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; F. Marchetti.
-	  <I><B>Classification de donn&eacute;es binaires et mesure d'information</B></I>.
-	  XXIe Journ&eacute;es de Statistiques,&nbsp;
+<p class="infolinks">
-        Grenoble,
+    G. Govaert.
+    <I><B>Algorithme de classification d'un tableau de contingence</B></I>.
+	  First international symposium on data analysis and informatics,&nbsp;
+        Versailles,
+	  Pages 487-500,
+	  INRIA,
+.
+	  <a href="javascript:toggleInfo('govaert_m77','bibtex')">[BibTeX]</a>
-.
+	  </p>
+      </td>
+</tr>
+<tr id="bib_govaert_m77" class="bibtex noshow">
+<td colspan="6">
+<b>BibTeX</b>:
+<pre>
+@inproceedings{govaert_m77,
+  author = {Govaert, G.},
+  title = {Algorithme de classification d'un tableau de contingence},
+  booktitle = {First international symposium on data analysis and informatics},
+  address = {Versailles},
+  publisher = {INRIA},
+  year = {1977},
+  pages = {487-500}
+}
+</pre></td>
+</tr>
+<tr id="diday_m76" class="entry">
+    <td>
+    <h2>1976</h2> <br />
+<p class="infolinks">
+    E. Diday &amp; G. Govaert.
+    <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
+	  Computer Oriented Learning Processes,&nbsp;
+        Leyden,
+        Nato Advanced Study Institutes Series, series E: Applied Science,
+        Volume 9,
+        Number 14,
+	  Pages 299-320,
+	  Noordhoff,
+.
-	  <a href="javascript:toggleInfo('govaert_m88a','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m76','bibtex')">[BibTeX]</a>
@@ Ligne 8360: / Ligne 9813: @@
       </td>
 </tr>
-<tr id="bib_govaert_m88a" class="bibtex noshow">
+<tr id="bib_diday_m76" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m88a,
+@inproceedings{diday_m76,
-  author = {Govaert, G. and Marchetti, F.},
+  author = {Diday, E. and Govaert, G.},
-  title = {Classification de donn{\'e}es binaires et mesure d'information},
+  title = {Apprentissage et mesures de ressemblance adaptatives},
-  booktitle = {XXIe Journ{\'e}es de Statistiques},
+  booktitle = {Computer Oriented Learning Processes},
-  address = {Grenoble},
+  address = {Leyden},
-  year = {1988}
+  publisher = {Noordhoff},
+  year = {1976},
+  series = {Nato Advanced Study Institutes Series, series E: Applied Science},
+  volume = {9},
+  number = {14},
+  pages = {299-320}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m88b" class="entry">
+<tr id="govaert_m75" class="entry">
-	<td>
+    <td>
+    <h2>1975</h2> <br />
 <p class="infolinks">
+    G. Govaert.
-        G. Govaert &amp; F. Marchetti.
+    <I><B>Classification automatique et distances adaptatives</B></I>.
-	  <I><B>Mod&egrave;le de classification et distance dans le cas discret</B></I>.
+	  <i>School</i>: Universit&eacute; Paris 6,&nbsp;
-	  ,&nbsp;
+        France,
-        Metz, France,
@@ Ligne 8388: / Ligne 9849: @@
 .
-	  <a href="javascript:toggleInfo('govaert_m88b','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('govaert_m75','bibtex')">[BibTeX]</a>
@@ Ligne 8398: / Ligne 9859: @@
       </td>
 </tr>
-<tr id="bib_govaert_m88b" class="bibtex noshow">
+<tr id="bib_govaert_m75" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@techreport{govaert_m88b,
+@phdthesis{govaert_m75,
-  author = {Govaert, G. and Marchetti, F.},
+  author = {Govaert, G.},
-  title = {Mod{\`e}le de classification et distance dans le cas discret},
+  title = {Classification automatique et distances adaptatives},
-  address = {Metz, France},
+  address = {France},
-  year = {1988}
+  school = {Universit{\'e} Paris 6},
+  year = {1975}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m88c" class="entry">
+<tr id="diday_m74a" class="entry">
-	<td>
+    <td>
+    <h2>1974</h2> <br />
 <p class="infolinks">
+    E. Diday &amp; G. Govaert.
-        G. Govaert &amp; F. Marchetti.
+    <I><B>Classification avec distances adaptatives</B></I>.
-	  <I><B>Classification binaire et Mod&egrave;le</B></I>.
+	  C. R. Acad. Sc. Paris, s&eacute;rie A,&nbsp;
-	  ,&nbsp;
-        Le Chesnay, France,
-        Decembre,
-        Number 949,
+        Volume 278,
+	  Pages 993-995,
+.
-.
-	  <a href="javascript:toggleInfo('govaert_m88c','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m74a','bibtex')">[BibTeX]</a>
@@ Ligne 8435: / Ligne 9900: @@
       </td>
 </tr>
-<tr id="bib_govaert_m88c" class="bibtex noshow">
+<tr id="bib_diday_m74a" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@techreport{govaert_m88c,
+@article{diday_m74a,
-  author = {Govaert, G. and Marchetti, F.},
+  author = {Diday, E. and Govaert, G.},
-  title = {Classification binaire et Mod\`ele},
+  title = {Classification avec distances adaptatives},
-  address = {Le Chesnay, France},
+  journal = {C. R. Acad. Sc. Paris, s{\'e}rie A},
-  month = {Decembre},
+  year = {1974},
-  year = {1988},
+  volume = {278},
-  number = {949}
+  pages = {993-995}
 }
 </pre></td>
 </tr>
-<tr id="govaert_m87" class="entry">
+<tr id="diday_m74b" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        G. Govaert &amp; F. Marchetti.
-	  <I><B>Classification de donn&eacute;es binaires et qualitatives</B></I>.
-	  XIXe Journ&eacute;es de Statistiques,&nbsp;
+<p class="infolinks">
-        Lausanne,
+    E. Diday &amp; G. Govaert.
+    <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
+	  Nato Advanced Study Institutes Series on Computer Oriented Learning Processes,&nbsp;
+        Bonas,
+        Septembre,
@@ Ligne 8464: / Ligne 9932: @@
 .
-	  <a href="javascript:toggleInfo('govaert_m87','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m74b','bibtex')">[BibTeX]</a>
@@ Ligne 8474: / Ligne 9942: @@
       </td>
 </tr>
-<tr id="bib_govaert_m87" class="bibtex noshow">
+<tr id="bib_diday_m74b" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@inproceedings{govaert_m87,
+@proceedings{diday_m74b,
-  author = {Govaert, G. and Marchetti, F.},
+  author = {Diday, E. and Govaert, G.},
-  title = {Classification de donn\'ees binaires et qualitatives},
+  title = {Apprentissage et mesures de ressemblance adaptatives},
-  booktitle = {XIXe Journ\'ees de Statistiques},
+  booktitle = {Nato Advanced Study Institutes Series on Computer Oriented Learning Processes},
-  address = {Lausanne},
+  address = {Bonas},
-  year = {1987}
+  month = {Septembre},
+  year = {1974}
 }
 </pre></td>
 </tr>
-<tr id="lechevallier_m86" class="entry">
+<tr id="diday_m74c" class="entry">
-	<td>
+    <td>
-<p class="infolinks">
-        Y. Lechevallier; H. Ralambondrainy &amp; G. Govaert.
-	  <I><B>Le syst&egrave;me Sicla : principe et architecture</B></I>.
+<p class="infolinks">
+    E. Diday &amp; G. Govaert.
+    <I><B>Apprentissage et mesures de ressemblance adaptatives</B></I>.
 	  ,&nbsp;
         Le Chesnay, France,
-        Mars,
+        Novembre,
-        Number 500,
+        Number 89,
 .
-	  <a href="javascript:toggleInfo('lechevallier_m86','bibtex')">[BibTeX]</a>
+	  <a href="javascript:toggleInfo('diday_m74c','bibtex')">[BibTeX]</a>
@@ Ligne 8512: / Ligne 9984: @@
       </td>
 </tr>
-<tr id="bib_lechevallier_m86" class="bibtex noshow">
+<tr id="bib_diday_m74c" class="bibtex noshow">
 <td colspan="6">
 <b>BibTeX</b>:
 <pre>
-@techreport{lechevallier_m86,
+@techreport{diday_m74c,
-  author = {Lechevallier, Y. and Ralambondrainy, H. and Govaert, G.},
+  author = {Diday, E. and Govaert, G.},
-  title = {Le syst{\`e}me Sicla : principe et architecture},
+  title = {Apprentissage et mesures de ressemblance adaptatives},
   address = {Le Chesnay, France},
-  month = {Mars},
+  month = {Novembre},
-  year = {1986},
+  year = {1974},
-  number = {500}
+  number = {89}
 }
 </pre></td>
 </tr>
 </tbody>
+</table>
+<p align="right">
+ <small>Created by <a href="http://jabref.sourceforge.net">JabRef</a> on 10/06/2010.</small>
+</p>
-    </table>
 </body>
 </html>
+<!-- File generated by JabRef ; Export Filter written by Mark Schenk ;
+     List design by Eugen Popovici <eugen DOT popovici AT gmail DOT com> based on
+     the JabRef Export Filters available at http://www.markschenk.com/tools/jabref/  -->

UMR CNRS 7253

Outils du site

Différences

Outils de la page

Outils pour utilisateurs