%0 Journal Article
%T Document Clustering Method Based on NMFSC<br>一种基于NMFSC的文本聚类方法
%A WANG Yong-Gui
%A GAO Yue
%A <br>王永贵
%A 高月
%J 计算机系统应用
%D 2011
%I 
%X Through analyzing the characteristics of the text,a novel text clustering approach based on Non-negative Matrix Factorization with sparseness constraint(NMFSC) is presented.The method uses NMFSC decomposing word-text matrix to reduce the dimension of the feature space,and better controls sparsity with sparseness constraint,and then further refines clusters by using the similarity of documents in clusters.Compared with text clustering method based on k-means and text clustering method based on NMF,the result...
%K text clustering
%K refine clusters
%K non-negative matrix factorization
%K sparse representation
%K normalized mutual information<br>文本聚类
%K 细化簇
%K 非负矩阵分解
%K 稀疏表示
%K 归一化互信息值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=C25D2FB4BF875ED17D18FD4041B4E4A8&yid=9377ED8094509821&vid=A04140E723CB732E&iid=9CF7A0430CBB2DFD&sid=46CB27789995047D&eid=033ECB32AFEAB725&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=10