A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem

A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem. PATTERN RECOGNITION, 30. pp. 2023-2030.

[img]
Preview
PDF
a_tabu_search_based_algorithm_for_the_fu_al_sultan_isi_000073087700007.pdf

Download (28kB) | Preview

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
Depositing User: SHAIKH ARIFUSALAM
Date Deposited: 14 Jun 2008 13:33
Last Modified: 01 Nov 2019 16:44
URI: http://eprints.kfupm.edu.sa/id/eprint/2564