Quote:
Originally Posted by DavidNJ
To pick the best set of K-Means clusters centroids for each training set, how many times should be generate the centroids to find the best? 10? 100? 1000? The higher number provides the higher probability of finding the the centroids with the lowest Eout.
Thanks,
David
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You need a condition that stops iteration when the centroids do not change.