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A fuzzy clustering algorithm using cellular learning automata based evolutionary algorithm

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4 Author(s)
R. Rastegar ; Comput. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran ; A. R. Arasteh ; A. Hariri ; M. R. Meybodi

In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The CLA-EC is used to search for cluster centers in such a way that minimizes the clustering criterion. The simulation results indicate that the proposed algorithm produces clusters with acceptable quality with respect to clustering criterion and provides a performance that is superior to that of the C-means algorithm.

Published in:

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Date of Conference:

5-8 Dec. 2004