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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Fuzziness and Soft Computing,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Miyamoto, Sadaaki. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Algorithms for Fuzzy Clustering |h [electronic resource] : |b Methods in c-Means Clustering with Applications / |c by Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda. |
| 250 | |a 1st ed. 2008. | ||
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| 300 | |a XI, 247 p. |b online resource. | ||
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| 490 | 1 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 | |
| 505 | 0 | |a 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. | |
| 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. | ||
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| 700 | 1 | |a Ichihashi, Hidetomo. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Honda, Katsuhiro. |e author. |0 (orcid)0000-0001-9080-5942 |1 https://orcid.org/0000-0001-9080-5942 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 830 | 0 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 | |
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