计算机应用研究2016，Vol.33Issue(6)：1624-1627,4.DOI:10.3969/j.issn.1001-3695.2016.06.006
基于相对密度的多耦合文本聚类算法
Multi-coupled text clustering algorithm based on relative density
摘要
Abstract
Aiming at the problem that existing space vector models ignore entry location and the relations between entries,this paper proposed a multi-coupled text clustering algorithm based on relative density.On the basis of clustering algorithms based on relative density and according to the reality that the smaller the relative density was,the smaller the text similarity was,the algorithm converted relative density to text similarity,integrated the traditional DBSCAN density algorithm,and optimized the selection of core objects.Experimental results show that,comparing with the improved K-means and the improved DBSCAN text clustering algorithms,the proposed algorithm performs more efficiently and has a better clustering quality in text cluste-ring.关键词
文本聚类/空间向量模型/相对密度/文本相似度/核心对象Key words
text clustering/vector space model/relative density/text similarity/core object分类
信息技术与安全科学引用本文复制引用
王洪佳,邢长征,王星..基于相对密度的多耦合文本聚类算法[J].计算机应用研究,2016,33(6):1624-1627,4.基金项目
国家自然科学基金资助项目 （）
