Hierarchical Bayesian Clustering for Automatic Text Classification

  title={Hierarchical Bayesian Clustering for Automatic Text Classification},
  author={Makoto Iwayama and Takenobu Tokunaga},
Text classification, the grouping of texts into several clusters, has been used as a means of improving both the efficiency and the effectiveDess of text retrieval/categorization In this paper we propose a hierarchical clustering algor i thm that constructs a Bet of clusters having the maximum Bayesian posterior probability, the probability that the given texts are classified into clusters We call the algorithm Hierarchical Bayesian Clustering (HBC) The advantages of HBC are experimentally… CONTINUE READING
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