Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (13): 142-144.DOI: 10.3778/j.issn.1002-8331.2010.13.042

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Fuzzy spectral clustering algorithm for document clustering

GAO Qian,DAI Yue-ming   

  1. School of Information Technology,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:2008-10-28 Revised:2009-01-13 Online:2010-05-01 Published:2010-05-01
  • Contact: GAO Qian

用于文本聚类的模糊谱聚类算法

高 倩,戴月明   

  1. 江南大学 信息工程学院,江苏 无锡 214122
  • 通讯作者: 高 倩

Abstract: The applications of spectral clustering have been extended from the image separation to the field of document mining.So far certain results have been achieved.Based on spectral clustering of ascertainable clustering number,combining fuzzy theory with spectral clustering algorithm,a fuzzy spectral clustering algorithm about multiple documents clustering is proposed.The method is about solving the problem such as a document belonging to multiple document clusters at the same time.The good results are shown in the simulation experiments.

Key words: spectral clustering, graph partition, clustering number, document clustering

摘要: 谱聚类方法的应用已经开始从图像分割领域扩展到文本挖掘领域中,并取得了一定的成果。在自动确定聚类数目的基础上,结合模糊理论与谱聚类算法,提出了一种应用在多文本聚类中的模糊聚类算法,该算法主要描述了如何实现单个文本同时属于多个文本类的模糊谱聚类方法。实验仿真结果表明该算法具有很好的聚类效果。

关键词: 谱聚类, 图划分, 聚类数, 文本聚类

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