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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Miyamoto, Sadaaki, 1950-, Ichihashi, Hidetomo, 19..- (Συγγραφέας), Honda, Katsuhiro (Συγγραφέας)
Μορφή: Livre numérique
Γλώσσα:Anglais
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Έκδοση:1st ed. 2008.
Σειρά:Studies in Fuzziness and Soft Computing
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Σημείωση: 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
Περιγραφή
Περίληψη: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 considered to be a major technique of clustering in general, regardless whether one is interested in fuzzy methods or not. Unlike most studies in fuzzy c-means, what we emphasize in this book is a family of algorithms using entropy or entropy-regularized methods which are less known, but we consider the entropy-based method to be another useful method of fuzzy c-means. Throughout this book one of our intentions is to uncover theoretical and methodological differences between the Dunn and Bezdek traditional method and the entropy-based method. We do note claim that the entropy-based method is better than the traditional method, but we believe that the methods of fuzzy c-means become complete by adding the entropy-based method to the method by Dunn and Bezdek, since we can observe natures of the both methods more deeply by contrasting these two
Περιγραφή τεκμηρίου:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540787372
ISSN:1860-0808
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