Description |
1 online resource (xi, 247 pages) : illustrations |
Series |
Studies in fuzziness and soft computing, 1434-9922 ; v. 229 |
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Studies in fuzziness and soft computing ; v. 229. 1434-9922
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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.
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Cluster analysis.
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Cluster analysis.
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Fuzzy sets.
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Ingénierie.
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Cluster analysis
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Fuzzy sets
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Form |
Electronic book
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Author |
Ichihashi, Hidetomo, 1948-
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Honda, Katsuhiro, 1973-
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ISBN |
9783540787372 |
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3540787372 |
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9783540787365 |
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3540787364 |
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