%0 Journal Article
%T Research of Multi-dimensions and Speediness Clustering Based on Genetic Algorithm<br>基于遗传算法的多维快速聚类算法研究*
%A SHE Xiang-yang
%A XUE Hui-feng
%A XU Wu-di
%A <br>厍向阳
%A 薛惠锋
%A 许五弟
%J 计算机应用研究
%D 2005
%I 
%X The genetic algorithm is introduced in order to solve the clustering about mass ,multi-dimensions samples.The shortcomings are analysised, which lie in sample and attribute value clustering algorithms based on the genetic algorithm at present, and their algorithm models are summarized. The density and girding algorithms based on the genetic algorithm are put forward to multi-dimensions and speediness clustering. Two algorithms trail show: the betterment clustering algorithms based on genetic algorithm can accomplish preferably the clustering about mass ,multi-dimensions samples.
%K Clustering
%K Genetic Algorithm
%K Density Clustering
%K Girding Clustering<br>聚类
%K 遗传算法
%K 密度法
%K 网格法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8647102D45F20C48&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=9FFCC7AF50CAEBF7&eid=BFE7933E5EEA150D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7