Text Clustering with Feature Selection by Using Statistical Data

  title={Text Clustering with Feature Selection by Using Statistical Data},
  author={Yanjun Li and Congnan Luo and Soon Myoung Chung},
  journal={IEEE Transactions on Knowledge and Data Engineering},
Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the corpus. In this paper, we propose a new supervised feature selection method, named CHIR, which is based on the chi2 statistic and new statistical data that can measure the positive term-category dependency. We also propose a new text clustering algorithm, named text clustering with feature selection (TCFS). TCFS can incorporate… CONTINUE READING
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