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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| Other Authors: | , |
| Format: | Book |
| Language: | English |
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Berlin
Springer
c2008.
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| Series: | Studies in fuzziness and soft computing
v. 229 |
| Subjects: | |
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| 001 | 29763 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241218082918.0 | ||
| 008 | 100315t2008 gw 001 0 eng d | ||
| 020 | |z 9783540787372 (e-ISBN) | ||
| 020 | |a 9783540787365 (alk. paper) | ||
| 039 | 9 | |a 201508030930 |b azraai |y 201003151112 |z faizin | |
| 090 | |a QA 248.5 |b .M588 2008 | ||
| 100 | 1 | |a Miyamoto, Sadaaki |d 1950- | |
| 245 | 1 | 0 | |a Algorithms for fuzzy clustering |b methods in c-means clustering with applications |c Sadaaki Miyamoto, Hidetomo Ichihashi, and Katsuhiro Honda |
| 260 | |a Berlin |b Springer |c c2008. | ||
| 300 | |a xi, 247 p. |b ill. |c 24 cm. | ||
| 490 | 1 | |a Studies in fuzziness and soft computing |x 1434-9922 |v v. 229 | |
| 504 | |a Includes bibliographical references (p. [235]-243) and index | ||
| 505 | 0 | |a 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 | |
| 520 | |a 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. | ||
| 650 | 0 | |a Fuzzy Systems | |
| 650 | 0 | |a Cluster analysis | |
| 650 | 0 | |a Soft computing | |
| 700 | 1 | |a Ichihashi, Hidetomo | |
| 700 | 1 | |a Honda, Katsuhiro | |
| 830 | 0 | |a Studies in fuzziness and soft computing |v v. 229 | |
| 999 | |a vtls000040299 |c 29763 |d 29763 | ||