A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM. PATTERN RECOGNITION, 26. pp. 13571361.

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Abstract
The Fuzzy clustering (FC) problem is a nonconvex mathematical program which usually possesses several local minima. The global minimum solution of the problem is found using a simulated annealingbased algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy Cmeans algorithm.
Item Type:  Article 

Subjects:  Math Computer 
Department:  College of Computing and Mathematics > lndustrial and Systems Engineering 
Depositing User:  SHAIKH ARIFUSALAM 
Date Deposited:  14 Jun 2008 10:39 
Last Modified:  01 Nov 2019 13:44 
URI:  http://eprints.kfupm.edu.sa/id/eprint/2543 