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    ICML
    2007
    IEEE
    147views Machine Learning» more  ICML 2007»
    Adaptive dimension reduction using discriminant analysis and K-means clustering
    14 years 5 months ago
    Adaptive dimension reduction using discriminant analysis and K-means clustering
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    We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
    Chris H. Q. Ding, Tao Li
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