Algorithms for Fuzzy Clustering Methods in c-Means Clustering with Applications /

• Κύριοι συγγραφείς: Miyamoto, Sadaaki (Συγγραφέας), Ichihashi, Hidetomo (Συγγραφέας), Honda, Katsuhiro (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Fuzziness and Soft Computing, 229
• Θέματα: Computer science.; Computer programming.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Programming Techniques.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

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.