A competitive learning algorithm using symmetry

被引:0
|
作者
Su, MC [1 ]
Chou, CH [1 ]
机构
[1] Tamkang Univ, Dept Elect Engn, Taipei, Taiwan
关键词
competitive learning; data clustering; neural networks; pattern recognition;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:680 / 687
页数:8
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