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The k-means problem has been paid lots of attention in many fields, and each cluster of the k-means problem always satisfies locality property. In this paper, we study the constrained k-means problem, where the clusters do not satisfy locality property and can be an arbitrary partition of the set of points. Ding and Xu presented a unified framework with running time $$O(2^{poly (k/\epsilon )} (\log...
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