计算机工程2012，Vol.38Issue(2)：213-214,220,3.DOI:10.3969/j.issn.1000-3428.2012.02.070
一种基于词共现的文档聚类算法
Document Clustering Algorithm Based on Word Co-occurrence
摘要
Abstract
This paper presents a document clustering algorithm based on word co-occurrence to solve the problem about information deletion of text subject expression. It uses the word co-occurrence of document set to establish the document theme vector presentation model, and applies to the hierarchical clustering algorithm, through the clustering entropy to find the best level partition, and accurately reflects the relationship between documents' theme. Experimental results show that the algorithm results is better than other phrases document hierarchical clustering algorithm.关键词
文档聚类/文档模型/词共现/文档相似度/聚类增益Key words
document clustering/document model/ word co-occurrence/ document similarity/ clustering gain分类
信息技术与安全科学引用本文复制引用
常鹏,冯楠,马辉..一种基于词共现的文档聚类算法[J].计算机工程,2012,38(2):213-214,220,3.基金项目
国家自然科学基金资助项目(70901054) （70901054）
