Association Coefficient Measures for Document Clustering

نویسندگان

  • Chun-Ling Chen
  • Frank
  • S. C. Tseng
  • Tyne
چکیده

This paper presents Association Coefficient Measures for Document Clustering. The proposed Association Coefficient Measures approach is based on Intuitionistic Fuzzy Sets. In this paper twelve Association Coefficient Measures from f1 to f12 are used. In Document Clustering Document collection, Text Pre-processing, Feature Selection, Indexing, Clustering Process and Results Analysis steps are used. Twenty News group data sets [17] are used in the Experiments. For experimental results analysis evaluated using the Analytical SAS 9.0 Software is used. The Experimental Results show the proposed approach out performs. Keywords— Intuitionistic Fuzzy Sets, Association Coefficient measure,Clustering.

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تاریخ انتشار 2012