A Chinese Web Documents Clustering Method Based on the Suffix Tree

摘要：

An improved Chinese documents clustering method based on suffix tree is reported in this paper.The foundation of the improved method is the keyword,at the same time,joined the POS (part of speech)judgment.The STC (Suffix Tree Clustering) is introduced first,and then,its improved method including its realization details are given,accordingly,a cluster evaluation method is used to measure the performance of the proposed method.The experiments demonstrate that the proposed method can achieve better results than the STC does.

关键词： STC Chinese documents clustering keywords weight POS

作者: Chiwen Wu

作者单位: School of Information Technology,Jiangnan University,Wuxi Jiangsu China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 467-472

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）