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    ICDM
    2002
    IEEE
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    Adaptive dimension reduction for clustering high dimensional data
    13 years 9 months ago
    Adaptive dimension reduction for clustering high dimensional data
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    It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
    Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
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