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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. 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 Author: Miyamoto, Sadaaki 1950-
Other Authors: Ichihashi, Hidetomo, Honda, Katsuhiro
Format: Book
Language:English
Published: Berlin Springer c2008.
Series:Studies in fuzziness and soft computing v. 229
Subjects:
Fuzzy Systems
Cluster analysis
Soft computing
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Table of Contents:
  • Introduction
  • Basic methods 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

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