%0 Journal Article
%T Research on Text Feature Extraction Based on Hybrid Parallel Genetic Algorithm<br>基于混合并行遗传聚类的文本特征抽取方法研究
%A DAI Wen-hua
%A JIAO Cui-zhen
%A HE Ting-ting
%A <br>戴文华
%A 焦翠珍
%A 何婷婷
%J 计算机科学
%D 2008
%I 
%X Issues of synonymy and strong relational semantic information increase the feature dimension of text vector,which embarrasses the efficiency and precision of text classification.In order to decrease the feature dimension of text vector,a method of text feature extraction based on hybrid parallel genetic clustering algorithm was proposed in this paper.Firstly,K-means algorithm is used to perform thick-granularity clustering for feature words.Successively,hybrid parallel genetic algorithm is used to perform t...
%K Parallel genetic algorithm
%K K-means clustering
%K Feature extraction
%K Text feature words<br>并行遗传算法
%K K-means聚类
%K 特征抽取
%K 文本特征词
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=DA96DD0744F74966F13B637CEEA8F7DF&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=9CF7A0430CBB2DFD&sid=DD74772618543076&eid=50BBDFAC8381694B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7