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Another approach is to transform the dataset into a smaller but representative dataset, called a core-set, and running k-means on that core-set instead which produces a "(1+e )-approximation for the optimal cluster centers".

See http://people.csail.mit.edu/dannyf/kmeancoreset.pdf




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