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.

• Type: Conference
• Year: 2004
• Where: HIS
• Authors: Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohammad Reza Meybodi
• Keywords: Cellular Learning Automata, Clustering Criterion, Fuzzy Clustering Algorithm, HIS 2004, HIS 2007