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
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 1999年 / E82A卷 / 04期
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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