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A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm

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A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
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.
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where HIS
Authors Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohammad Reza Meybodi
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