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A Competitive Learning Algorithm Using Symmetry
Mu-Chun SU Chien-Hsing CHOU
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1999/04/25
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Neural Networks
competitive learning, data clustering, neural network, pattern recognition,
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In this paper, we propose a new competitive learning algorithm for training single-layer neural networks to cluster data. The proposed algorithm adopts a new measure based on the idea of "symmetry" so that neurons compete with each other based on the symmetrical distance instead of the Euclidean distance. The detected clusters may be a set of clusters of different geometrical structures. Four data sets are tested to illustrate the effectiveness of our proposed algorithm.