UMR CNRS 7253

Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux

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en:software:mdsi

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en:software:mdsi [2011/02/04 15:35]
tdenoeux created
en:software:mdsi [2011/02/04 15:41]
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 networksIEEE Transactions on Fuzzy Systems12(3):336-3492004 +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 Letters21:83-922000. {{en:​revues:​prl00.pdf|pdf}} 
 + 
 +{{en:​software:​mdsi.zip|Download}}
  
-[[http://​www.hds.utc.fr/​~tdenoeux/​software/​fpca/​fpca.zip|Download]] 

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