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

Algorithms for Fuzzy Clustering Methods in c-Means Clustering with Applications / by Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda.

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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Bibliographic Details
Main Authors: Miyamoto, Sadaaki (Author), Ichihashi, Hidetomo (Author), Honda, Katsuhiro (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Fuzziness and Soft Computing,
Springer eBook Collection.
Subjects:
Computer programming.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
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