Text Automatic Clustering Based on Indiscernibility Relation
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    Abstract:

    This paper studied the automatic clustering method under the Indiscernibility relation of the text objects. In the clustering process, the text sets were converted to the Boolean text information system that the machine may process; secondly the Indiscernibility relation was defined in information systems, and the Indiscernibility relation clustering theory was proposed; then the algorithm was described, which was proved by experiment; Analyzing the time complexity and disadvantages of the algorithm, gives the concrete improvement measures. Based on Indiscernibility relation automatic text clustering algorithm has a theoretical foundation and good experimental results show that this method has better application.

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周勇.基于不可分辨关系的文本自动聚类.计算机系统应用,2012,21(12):190-192

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  • Received:May 11,2012
  • Revised:June 12,2012
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