k-means algorithm to accept input k then n data object is divided into k-clustering in order to make available to the cluster to meet: the same objects in clustering high similarity and objects in different clustering the similarity smaller. Cluster similarity is the use of the clustering of objects by means of a

k平均算法
.........\iris_te.mat
.........\iris_tr.mat
.........\k_means.m

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