基于频繁词序列的层次文本聚类算法研究

下载PDF

导出

摘要提出一种基于频繁词序列的层次文本聚类算法,该算法考虑频繁词的次序关系和频繁词序列的文本频繁的重要性,构造了一种更合理的层次关系。实验证明,基于频繁词序列的层次文本聚类算法能够提高文本聚类的精确度。

作者马文超张建国胡冰

机构地区河南大学计算机与信息工程学院中共漯河市委党校

出处《计算机时代》 2009年第4期44-46,共3页 Computer Era

关键词文本聚类频繁词序列层次结构类描述

参考文献1

1[1]Feng Jianlin,Liu Huijun, Long Hao, Fang Qiong. SAT: Sentence As Association Transaction for Text Classification. Submitted for publication
2[2]Agrawal R, Srikant R. Fast Algorithms for Mining Association Rules. In:Proc. of the 2oth Very Large Data Bases,1994. 487～499
3[3]Borgelt C,Kruse R. Induction of Association Rules: Apriori Implementation. Otto-von-Guericke-University of Magdeburg, Germany
4[4]Berkhin P. Survey Of Clustering Data Mining Techniques. Accrue Software, Inc
5[5]Beil F,Ester M,Xu X. Frequent term-based text clustering. In:Proc. of ACM SIGKDD, 2002
6[6]Yiu Man Lung, Mamoulis N. Frequent-Pattern based Iterative Projected Clustering. University of Hong Kong
7[7]Wang B K. Hierarchical Document Clustering Using Frequent Itemsets. In:Proc. of SIAM Intl. Conf. on Data Mining, 2003
8[8]Steinbach M, Karypis G. A Comparison of Document Clustering Techniques. In:Proc. of ACM SIGKDD Text Mining Workshop,2000
9[9]The Reuters21578 collection. http:∥kdd. ics. uci. edu/databases/reuters21578/reuters21578. html
10[10]Dubes R C,Jain A K. Algorithms for Clustering Data. Prentice Hall, 1988

计算机时代

2009年第4期

内容加载中请稍等...