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in text documents clustering when k-means using as base algorithm, and VSM is a matrix for doc-term weighted by tf-idf, what is the best metric can be used for select an optimal initialization points (seed points ) where clustering procedure starting from these points ?

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A common approach is to use random initialization points, and run the algorithm multiple times, keeping the seed that minimizes your clustering error metric.

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