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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Σειρά: | Studies in Fuzziness and Soft Computing,
229 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.