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Studies in Fuzziness and Soft Computing

Algorithms for Fuzzy Clustering

Methods in c-Means Clustering with Applications

Authors: Miyamoto, Sadaaki, Ichihashi, Hidetomo, Honda, Katsuhiro

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  • Presents recent advances in algorithms for fuzzy clustering

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About this book

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.

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-540-78737-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-540-78736-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA in USD
  • ISBN 978-3-642-09753-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Algorithms for Fuzzy Clustering
Book Subtitle
Methods in c-Means Clustering with Applications
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
229
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78737-2
DOI
10.1007/978-3-540-78737-2
Hardcover ISBN
978-3-540-78736-5
Softcover ISBN
978-3-642-09753-9
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XI, 247
Topics

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