%0 Journal Article
%T A Dynamic Clustering Method Based on Genetic Algorithms<br>基于遗传算法的动态聚类方法
%A DAI Xiao-hui
%A LI Min-qiang
%A KOU Ji-song
%A <br>戴晓晖
%A 李敏强
%A 寇纪淞
%J 系统工程理论与实践
%D 1999
%I 
%X To solve the problem of sensitivity with the original clustering center and clustering results depended on the order of the input example in common dynamic clustering algorithm, a new dynamic clustering method based on genetic algorithms is presented in this paper and is applied to data analysis in databases. Computing results indicate that the method is a dynamic clustering algorithm with global optimization and is superior to \$K\|\$ means algorithm.
%K genetic algorithms
%K dynamic clustering
%K global optimization
%K data analysis<br>遗传算法
%K 动态聚类
%K 全局优化
%K 数据分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=348B16960E42DB3EFC9840A187A10749&yid=B914830F5B1D1078&vid=2A8D03AD8076A2E3&iid=F3090AE9B60B7ED1&sid=6270DC1B5693DDAF&eid=4DB1E72614E68564&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=3&reference_num=0