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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. The book uncovers theoretical and methodological differences between the Dunn and Bezdek method and the entropy-based method.

Detalles Bibliográficos
Autores principales: Miyamoto, Sadaaki, Ichihashi, Hidetomo, Honda, Katsuhiro
Lenguaje:eng
Publicado: Springer 2008
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2758110