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    A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM

    A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM. PATTERN RECOGNITION, 26. pp. 1357-1361.

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    Abstract

    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.

    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