Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm

Fuzzy c-means clustering algorithm (FCM) is a method that is frequently used in pattern recognition. It has the advantage of giving good modeling results in many cases, although, it is not capable of specifying the number of clusters by itself. Aimed at the problems existed in the FCM clustering alg...

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Bibliographic Details
Published in:	Neurocomputing (Amsterdam) Vol. 188; pp. 233 - 238
Main Authors:	Ding, Yi, Fu, Xian
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 05.05.2016
Subjects:	Adaptive algorithms Algorithms Clustering Fuzzy Fuzzy c-means clustering Fuzzy clustering Genetic algorithm Genetic algorithms Kernel-based fuzzy c-means Matlab Optimization Performance enhancement Fuzzy clustering Fuzzy c-means clustering Kernel-based fuzzy c-means Genetic algorithm
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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