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Machine learning / Statistical theory / Cluster analysis / Multivariate statistics / Mutual information / Entropy / K-means clustering / Feature selection / Mixture model / Statistics / Probability and statistics / Information theory


Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma
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Document Date: 2008-12-01 11:21:06


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IBM / Classification Likelihood / Maximum Likelihood / Reuters / Baxter / John Wiley & Sons / /

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Zoo Dataset / Carnegie Mellon University / University of Rochester / University of Minnesota / Watson Research Center / Monash University / /

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k-means algorithm / supervised text categorization algorithms / cluster applications / entropy-based clustering algorithm / variant axiom systems / dynamical systems / /

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EDU Department of Computer Science / National Institute of Health / COM IBM T. J. Watson Research Center / National Science Foundation / Department of Computer Science / University of Rochester / Rochester / Carnegie Mellon University / Monash University / University of Minnesota / /

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Tao Li / Nj / /

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partitioning algorithms / k-means algorithm / following Algorithm / Natural Language Processing / Av / supervised text categorization algorithms / entropy-based algorithm / clustering algorithms / entropy-based clustering algorithm / clustering algorithm / Data Mining / machine learning / Simulation / HTML / ing algorithms / /

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