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Text Mining with Information-Theoretic Clustering
November/December 2003 (vol. 5 no. 6)
pp. 52-59
Jacob Kogan, University of Maryland, Baltimore County
Charles Nicholas, University of Maryland, Baltimore County
Vladimir Volkovich, Ort Braude Academic College

Motivated by the success of hybrid information-retrieval algorithms, the authors report on the development of their hybrid clustering scheme. Scheme experiments on data in a reduced vector space model indicate a higher performance level over several existing clustering algorithms.

Index Terms:
algorithm, k-means, kl-means, mining
Citation:
Jacob Kogan, Charles Nicholas, Vladimir Volkovich, "Text Mining with Information-Theoretic Clustering," Computing in Science and Engineering, vol. 5, no. 6, pp. 52-59, Nov.-Dec. 2003, doi:10.1109/MCISE.2003.1238704
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