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

页码：1607 / 1612

页数：6

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