A novel cluster validity criterion for fuzzy C-regression model clustering algorithm

被引：0
|
作者：
Kung, CC [1 ]
Hung, JC [1 ]
机构：
[1] Tatung Univ, Dept Elect Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel cluster validity criterion for the fuzzy e-regression model (FCRM) clustering algorithm. The goal of the proposed cluster validity criterion is to decide the appropriate number of clusters in a FCRM. The simulation results demonstrate its validness and effectiveness.
引用
收藏
页码：1368 / 1373
页数：6
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