A Fuzzy Modeling Approach to Cluster Validity

被引：1
|
作者：
Le Capitaine, Hoel [1 ]
Frelicot, Carl [1 ]
机构：
[1] Univ La Rochelle, MIA Lab, La Rochelle, France
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 | 2009年
关键词：
INDEX; CLASSIFICATION;
D O I：
10.1109/FUZZY.2009.5277127
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 presents a new approach to find the optimal number of clusters of a fuzzy partition. It is based on a fuzzy modeling approach which combines measures of clusters' separation and overlap. Theses measures are based on triangular norms and a discrete Sugeno integral. Results on artificial and real data sets prove its efficiency compared to indexes from the literature.
引用
收藏
页码：462 / 467
页数：6
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