Possibilistic and fuzzy c-means clustering with weighted objects

被引：2
|
作者：
Miyamoto, Sadaaki [1 ]
Inokuchi, Ryo [1 ]
Kuroda, Youhei [1 ]
机构：
[1] Univ Tsukuba, Dept Risk Engn, Tsukuba, Ibaraki 3058573, Japan
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
基金：
日本学术振兴会;
关键词：
D O I：
10.1109/FUZZY.2006.1681813
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 describes a family of methods of fuzzy clustering handling objects with weights. Weighted objects easily appear when an individual is a representative of several data units. Fuzzy c-means and possibilistic clustering algorithms for weighted objects are proposed. Relationships as wen as differences between solutions of possibilistic and fuzzy c-means methods are described. It is also shown that the methods for weighted objects and techniques handling cluster volumes are closely related. A feature in the present approach is a systematic development of a family of algorithms for weighted objects.
引用
收藏
页码：869 / +
页数：2
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