%0 Journal Article
%T Using BP Neural Network to Improve K-mean''''Result<br>使用BP网络改进K-means聚类效果
%A WANG Yin-Hui
%A XIONG Zhong-Yang
%A <br>王银辉
%A 熊忠阳
%J 计算机科学
%D 2006
%I 
%X The value of K and the selection of initial centers heavily affect the result of K-means algorithm.Aiming at this problem,this paper puts forward a method that uses BP neural network to improve K-means' result.Training clustering result by BP network,the effect of K-means can be improved.Experiments using artificial data and actual business data testify the validity of this method.It can improve the traditional K-means effect well.
%K K-Means
%K BP<br>聚类
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F72108B3C4BD4FB2&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=5D9D6A8FC2C66FD8&eid=E0F6F365E4766526&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=11