Suppressed fuzzy C-means clustering algorithm

被引：141
作者：
Fan, JL
Zhen, WZ
Xie, WX
机构：
[1] Xian Inst Post & Telecommun, Dept Informat & Control, Xian 710061, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
[3] Shenzhen Univ, Sch Informat Engn, Shenzhen 518060, Peoples R China
来源：
PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 9-10期
关键词：
fuzzy partition; HCM algorithm; FCM algorithm;
D O I：
10.1016/S0167-8655(02)00401-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on the defect of rival checked fuzzy c-means clustering algorithm, a new algorithm: suppressed fuzzy c-means clustering algorithm is proposed. The new algorithm overcomes the shortcomings of the original algorithm, establishes more natural and more reasonable relationships between hard c-means clustering algorithm and fuzzy c-means clustering algorithm. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1607 / 1612
页数：6
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