Github user tgaloppo commented on the pull request:
https://github.com/apache/spark/pull/3022#issuecomment-67582826
Excellent. 100 features is probably a bit of a stretch for the
algorithm,,, the density at any point (especially with respect to the initial
random gaussians) is going to be miniscule, possibly less than machine
precision. This is probably why the L2 cost of the models never changed
despite increasing number of clusters.
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