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A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem

AlSultan, K.S. and Fedjki, C.A. A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem. PATTERN RECOGNITION, 30. pp. 2023-2030.

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Abstract

The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is nonconvex, which implies possession of many local minima. The fuzzy C-means heuristic is the widely known approach to this problem, but it is guaranteed only to yield local minima. In this paper, we propose a new approach to this problem which is based on tabu search technique, and aims at finding a global solution of FCP. We compare the performance of the algorithm with the fuzzy Cmeans algorithm.



Item Type:Article
Subjects:Computer
Divisions:College Of Computer Sciences and Engineering > Systems Engineering Dept
Creators:AlSultan, K.S. and Fedjki, C.A.
Email:UNSPECIFIED, chawki@kfupm.edu.sa
ID Code:2564
Deposited By:SHAIKH ARIFUSALAM
Deposited On:14 Jun 2008 13:33
Last Modified:12 Apr 2011 13:13

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