Fuzzy clustering procedures for conical fuzzy vector data

被引：37
|
作者：
Yang, MS [1 ]
Liu, HH [1 ]
机构：
[1] Chung Yuan Christian Univ, Dept Math, Chungli 32023, Taiwan
来源：
FUZZY SETS AND SYSTEMS | 1999年 / 106卷 / 02期
关键词：
cluster analysis; fuzzy clustering algorithm; conical fuzzy vector; fuzzy c-means clustering; noise cluster; robustness;
D O I：
10.1016/S0165-0114(97)00277-7
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This note addresses fuzzy cluster analysis of conical fuzzy vector data. A fuzzy vector represents fuzzy data in a high dimension. In this note a robust type of fuzzy clustering algorithm with a noise cluster is proposed. The proposed algorithm is robust with respect to noise and can also detect outliers for conical fuzzy vector data. Finally, some numerical examples are presented. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：189 / 200
页数：12
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