%0 Journal Article
%T Research of Text Feature Words Clustering Based on Niche Hybrid Genetic Algorithm<br>基于小生境混合遗传算法的文本特征词聚类研究
%A DAI Wen-Hua
%A HE Ting-Ting
%A JIAO Cui-Zhen
%A <br>戴文华
%A 何婷婷
%A 焦翠珍
%J 计算机科学
%D 2008
%I 
%X Combined with the global optimization ability of Niche Genetic Algorithm and the efficiency of K-Means Algorithm,a new Text Feature Words Clustering method based on Niche Hybrid Genetic Algorithm is proposed.This method first uses the Bayesian Semantics Model to carry out statistical analysis on the corpus.K-L distance is used for measuring distances between feature words.Using this method,we can provide a higher efficiency and precision for Text Feature Words Clustering.Experiments indicate that Niche Hybrid Genetic Algorithm is an effective and feasible method for Text Feature Words Clustering.
%K Niche
%K Genetic algorithm
%K K-L distance
%K K-means clustering
%K Feature words clustering<br>小生境
%K 遗传算法
%K K-L距离
%K K-means聚类
%K 特征词聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D3E27F6D4C45D32E324E930B1CAB3365&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=CA4FD0336C81A37A&sid=974CBB04624305A1&eid=38685BC770C663F2&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=4