Algorithms for Fuzzy Clustering : Methods in c-Means Clustering with Applications

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be co...

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Detaylı Bibliyografya
Asıl Yazarlar: Miyamoto, Sadaaki, 1950-, Ichihashi, Hidetomo, 19..- (Yazar), Honda, Katsuhiro (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2008.
Seri Bilgileri:Studies in Fuzziness and Soft Computing
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Algorithms for Fuzzy Clustering, Texte imprimé, 9783540787365
• Algorithms for Fuzzy Clustering, Texte imprimé, 9783540849438
• Algorithms for Fuzzy Clustering, Texte imprimé, 9783642097539
İçindekiler:
  • BasicMethods for c-Means Clustering Variations and Generalizations - I Variations and Generalizations - II Miscellanea Application to Classifier Design Fuzzy Clustering and Probabilistic PCA Model Local Multivariate Analysis Based on Fuzzy Clustering Extended Algorithms for Local Multivariate Analysis