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E-book
Author Miyamoto, Sadaaki, 1950-

Title Algorithms for fuzzy clustering : methods in c-means clustering with applications / Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda
Published Berlin : Springer, ©2008

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Description 1 online resource (xi, 247 pages) : illustrations
Series Studies in fuzziness and soft computing, 1434-9922 ; v. 229
Studies in fuzziness and soft computing ; v. 229. 1434-9922
Contents BasicMethods 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
Summary 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
Bibliography Includes bibliographical references (pages 235-243) and index
Notes Print version record
Subject Fuzzy sets.
Cluster analysis.
Cluster analysis.
Fuzzy sets.
Ingénierie.
Cluster analysis
Fuzzy sets
Form Electronic book
Author Ichihashi, Hidetomo, 1948-
Honda, Katsuhiro, 1973-
ISBN 9783540787372
3540787372
9783540787365
3540787364