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    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.

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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
    Department: College of Computing and Mathematics > lndustrial and Systems Engineering
    Depositing User: SHAIKH ARIFUSALAM
    Date Deposited: 14 Jun 2008 10:33
    Last Modified: 01 Nov 2019 13:44
    URI: http://eprints.kfupm.edu.sa/id/eprint/2564