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

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

Author
Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda
Publication Year
2008
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Engineering

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. 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.


Keywords: Engineering / Fuzziness / Fuzzy / Fuzzy Clustering / Algorithm / Algorithms / C-Means Clusterin / Calculus / Model / Programming Techniques / Mathematical and Computational Engineering / Artificial intelligence