A Competitive Learning Algorithm Using Symmetry

• SU Mu-Chun

  the Department of Electrical Engineering, Tamkang University

• CHOU Chien-Hsing

  the Department of Electrical Engineering, Tamkang University

抄録

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.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 82 (4), 680-687, 1999-04-25

  一般社団法人電子情報通信学会

キーワード

• competitive learning
• data clustering
• neural networks
• pattern recognition

詳細情報

• CRID: 1573387452278716928
• NII論文ID: 110003216602
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
  • CiNii Articles