Description: kmeans cluster K means clustering algorithm accepts parameters K; N data object classification and the previously input for K clustering in order to make the cluster available to meet the same object: high similarity clustering; and different clustering objects in lower similarity. The clustering similarity is calculated by using a central object (gravity center) obtained from the mean value of objects in each cluster.
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cskmeans.m
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