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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Vydané v:	Neurocomputing (Amsterdam) Ročník 188; s. 233 - 238
Hlavní autori:	Ding, Yi, Fu, Xian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.05.2016
Predmet:	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
On-line prístup:	Získať plný text
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