Using BP Neural Network to Improve K-mean''''Result
使用BP网络改进K-means聚类效果

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.