K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the cluster by some criteria (usually the principle of minimum distance) to the centers to the accumulation of a variety of samples, resulting in the initial classification, then determine the classification is reasonable, if unreasonable, to modify the classification, so repeatedly modified clustering iteration, until a reasonable date.

kmeans-image-segmentation\kmeans.m
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kmeans-image-segmentation

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