| Document Date: 2004-08-30 17:29:42
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City Edmonton / Springer-Verlag / Austin / New York / / Company McGraw-Hill Book Company / LSI / ACM Press / Mutual Information / McGraw-Hill / Yahoo! / John Wiley & Sons / / Currency USD / / / IndustryTerm hierarchical web data / divisive and agglomerative algorithms / information-theoretic divisive algorithm / iterative algorithm / agglomerative algorithms / divisive clustering algorithm / k-means algorithm / agglomerative algorithm / divisive algorithm / classification algorithms / / NaturalFeature Shannon / / Organization National Science Foundation / Computer Sciences Univ. of Texas / American Society for Information Science / / Person Byron Dom / Ken Lang / R. O. Duda / Andrew McCallum / Rahul Kumar / / Position computer scientist / pitcher / classification model at that node / nyi boston greg league morris chicago morris player / / Product Pentax K-x Digital Camera / Divisive Clustering / Naive Bayes / / ProgrammingLanguage C / HTML / / ProvinceOrState Alberta / New Brunswick / New York / / PublishedMedium Machine Learning / / SportsEvent nhl / / Technology divisive algorithm / Lloyd-Max algorithm / Machine Learning / HTML / k-means algorithm / resulting algorithm / Naive Bayes algorithm / agglomerative algorithms / agglomerative algorithm / divisive and agglomerative algorithms / divisive clustering algorithm / classification algorithms / Data Mining / iterative algorithm / information-theoretic divisive algorithm / using the agglomerative algorithm / / URL www.dmoz.org / www.cs.utexas.edu/users/manyam/dmoz.txt / www.sleepycat.com / www.cs.cmu.edu / www.yahoo.com / /
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Enhanced Word Clustering for Hierarchical Text Classification Inderjit S. Dhillon Subramanyam Mallela