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en:software:mdsi [2011/02/04 15:37] tdenoeuxen:software:mdsi [2011/02/04 15:41] (current) tdenoeux
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 ====== Multidimensional Scaling of interval-valued dissimilarity data ====== ====== Multidimensional Scaling of interval-valued dissimilarity data ======
  
-An extension of Principal Component Analysis to fuzzy data, based on three layer autoassociative neural network model. The method is described in:+A Multidimensional Scaling (MDS) method for interval-valued dissimilarity data. The objects are represented as hyperspheres in 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:
  
-T. Denoeux and M. Masson. Principal component analysis of fuzzy data using autoassociative neural networksIEEE Transactions on Fuzzy Systems12(3):336-3492004 + T. Denoeux and M.-H. Masson. Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters21:83-922000. {{en:revues:prl00.pdf|pdf}}
-{{en:revues:ieee_fs03.ps|postscript}}+
  
 {{en:software:mdsi.zip|Download}} {{en:software:mdsi.zip|Download}}
  

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