A Competitive Learning Algorithm Using Symmetry

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 1999-04-25

著者

• Su Mu-chun

  Department Of Computer Science And Information Engineering National Central University

• Su Mu-chun

  The Department Of Electrical Engineering Tamkang University

• Chou Chien-hsing

  Department Of Electrical Engineering Tamkang University

• SU Mu-Chun

  Department of Electrical Engineering, Tamkang University

関連論文

• A Competitive Learning Algorithm Using Symmetry
• A Healing Mechanism to Improve the Topological Preserving Property of Feature Maps
• Continuous Speech Segmentation Based on a Self-Learning Neuro-Fuzzy System (Special Section on Digital Signal Processing)
• Associative-Memory-Based Human Face Detection

スポンサーリンク