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--- en:software:mdsi [2011/02/04 15:35] – created tdenoeux
+++ en:software:mdsi [2011/02/04 15:41] (current) – tdenoeux
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-An extension of Principal Component Analysis to fuzzy data, based on a three layer autoassociative neural network model. The method is described in:
+====== Multidimensional Scaling of interval-valued dissimilarity data ======
-T. Denoeux and M. Masson. Principal component analysis of fuzzy data using autoassociative neural networks. IEEE Transactions on Fuzzy Systems, 12(3):336-349, 2004.
+A Multidimensional Scaling (MDS) method for interval-valued dissimilarity data. The objects are represented as hyperspheres in a p-dimensional space. The minimum and maximum distances between hyperspheres approximate the lower and upper dissimilarities in the least squares sense. The method is described in:
-{{en:revues:ieee_fs03.ps|postscript}}
+ T. Denoeux and M.-H. Masson. Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters, 21:83-92, 2000. {{en:revues:prl00.pdf|pdf}}
+{{en:software:mdsi.zip|Download}}
-[[http://www.hds.utc.fr/~tdenoeux/software/fpca/fpca.zip|Download]]

UMR CNRS 7253