Fuzzy C-Means problem

From: Alex Chong (c.chong@murdoch.edu.au)
Date: Tue Jul 03 2001 - 11:51:07 MET DST

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    Hi all,

    I have a problem with Fuzzy C-Means Clustering. I find that as the
    number of data dimensions goes up typically >15, Fuzzy C-Means fail to
    cluster them. When clustering the data into 3 clusters, the membership
    degree matrix generated is filled up with all 0.333 (equal distance to
    all cluster centers).

    I have tried to minimize the exponent parameter m = 1.1 (least
    fuzziness) but still I get the unmeaningful results stated above.
    Please advise.

    --
    Alex Chong
    School of IT,
    Murdoch University, Australia
    

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