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Convergence analysis of rival penalized competitive learning (RPCL) algorithm

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3 Author(s)
Jinwen Ma ; Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin, China ; Taijun Wang ; Lei Xu

This paper analyzes the convergence of the rival penalized competitive learning (RPCL) algorithm via a cost function. It is shown that as RPCL process decreases the cost to a global minimum, a correct number of weight vectors will converge to each center of the clusters in the sample data respectively, while the others diverge

Published in:

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:2 )

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