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prototype methods:K-means

prototype methods:K-means

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Prototype methods differ according to how the number and the positions of the prototypes are decided,K-means is to minimize the total mean squared error between the training samples and their representative prototypes. K-means can be used in clustering or unsupervised classification.
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