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k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized

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K-means and reproducibility

I'm trying to find the optimal K-means clustering for a set of elements. For a particular K, K-means repeated several times does not always converge to the same clustering due to the randomness in the …
Matthew Plourde's user avatar