Conditional fuzzy C-Means

被引：218

作者：

Pedrycz, W

机构：

[1] Dept. of Elec. and Comp. Engineering, University of Manitoba, Winnipeg

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

fuzzy clustering; Fuzzy C-Means; conditional variable; data mining; radial basis functions;

D O I：

10.1016/0167-8655(96)00027-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A Fuzzy C-Means-based clustering method guided by an auxiliary (conditional) variable is introduced. The method reveals a structure within a family of patterns by considering their vicinity in a feature space along with the similarity of the values assumed by a certain conditional variable. The usefulness of the algorithm is exemplified in the problems of data mining.

引用

页码：625 / 631

页数：7

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