Coupled term-term relation analysis for document clustering

  title={Coupled term-term relation analysis for document clustering},
  author={Xin Cheng and Duoqian Miao and Can Wang and Longbing Cao},
  journal={The 2013 International Joint Conference on Neural Networks (IJCNN)},
Traditional document clustering approaches are usually based on the Bag of Words model, which is limited by its assumption of the independence among terms. Recent strategies have been proposed to capture the relation between terms based on statistical analysis, and they estimate the relation between terms purely by their co-occurrence across the documents. However, the implicit interactions with other link terms are overlooked, which leads to the discovery of incomplete information. This paper… CONTINUE READING
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