Fuzzy Clustering with Improved Artificial Fish Swarm Algorithm

Authors:
Si He;Nabil Belacel;Habib Hamam;Yassine Bouslimani
Affiliations:
-;-;-;-
Venue:
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 02
Year:
2009

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Abstract

This paper applies the artificial fish swarm algorithm (AFSA) to fuzzy clustering. An improved AFSA with adaptive Visual and adaptive step is proposed. AFSA enhances the performance of the fuzzy C-Means (FCM) algorithm. A computational experiment shows that AFSA improved FCM out performs both the conventional FCM algorithm and the Genetic Algorithm (GA) improved FCM.