Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial cluster centers classification, making the minimum evaluation J. The algorithm uses the error square and guidelines function as the clustering criterion function.

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kmeans

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