A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM

被引：37

作者：

ALSULTAN, KS

SELIM, SZ

机构：

[1] Department of Systems Engineering, King Fahd University of Petroleum and Minerals, Dhahran

来源：

PATTERN RECOGNITION | 1993年 / 26卷 / 09期

关键词：

FUZZY CLUSTERING; FUZZY C-MEANS ALGORITHM; CONTINUOUS SIMULATED ANNEALING; NONCONVEX PROGRAMMING; GLOBAL OPTIMIZATION;

D O I：

10.1016/0031-3203(93)90141-I

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Fuzzy clustering (FC) problem is a non-convex mathematical program which usually possesses several local minima. The global minimum solution of the problem is found using a simulated annealing-based algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy C-means algorithm.

引用

页码：1357 / 1361

页数：5

共 8 条

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Bezdek J.C., 1973, THESIS CORNELL U ITH

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