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DOI:
Journal of Software:2009.20(zk):330-335

不完备文本信息系统的集对分析聚类算法
林国平,李绍滋
(漳州师范学院 数学系,福建 漳州 363000;厦门大学 智能科学与技术系,福建 厦门 361005;福建省仿脑智能系统重点实验室(厦门大学),福建 厦门 361005)
Clustering Method for Incomplete Text System Based on Set Pair Analysis
LIN Guo-Ping,LI Shao-Zi
()
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Received:May 03, 2009    Revised:September 30, 2009
> 中文摘要: 考虑到实验数据的大规模性及不完备性等特点,根据集对分析理论,提出一种新超图模型不完备文本系统的聚类算法,即在超图边的权重中引入了集对的同异反联系度和集对的相似联系度并建立了超图模型,最后应用超图分隔法进行聚类.该算法克服了传统聚类算法的缺陷,更有效地降低了文本空间的维数,提高了不完备文本信息系统聚类的精度和速度.最后的实例说明了该算法的可行性和有效性.
Abstract:This paper presents a novel approach for incomplete text system. Which is based on hypergraph model clustering by using the set-pair analysis, and in which the similar, different and anti-contact connectivity of Set-pair and the similarity value of set-pair are used. After hypergraph model set up, a hypergraph partitioning algorithm is used to find clusters. This new method can eliminate disadvantageous factors and decrease the number of dimensions of the incomplete text data and enhance the speed largely and precision of text clustering. The experimental results show that the algorithm is feasibile and efficient.
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基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60873179, 10971186 (国家自然科学基金); the Foundation of Fujian Province Educational Department of China under Grant No.JB08187 (福建省教育厅B类基金项目) Supported by the National Natural Science Foundation of China under Grant Nos.60873179, 10971186 (国家自然科学基金); the Foundation of Fujian Province Educational Department of China under Grant No.JB08187 (福建省教育厅B类基金项目)
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林国平,李绍滋.不完备文本信息系统的集对分析聚类算法.软件学报,2009,20(zk):330-335

LIN Guo-Ping,LI Shao-Zi.Clustering Method for Incomplete Text System Based on Set Pair Analysis.Journal of Software,2009,20(zk):330-335