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Issue No.06 - November/December (2003 vol.5)
pp: 52-59
Charles Nicholas , University of Maryland, Baltimore County
Jacob Kogan , University of Maryland, Baltimore County
ABSTRACT
<p>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.</p>
INDEX TERMS
algorithm, k-means, kl-means, mining
CITATION
Charles Nicholas, Jacob Kogan, "Text Mining with Information-Theoretic Clustering", Computing in Science & Engineering, vol.5, no. 6, pp. 52-59, November/December 2003, doi:10.1109/MCISE.2003.1238704
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