Does anybody know of a fast implementation of Constrained K-Means like http://algoholic.eu/constrained-k-means-implementation-in-python/ … BUT FAST? Need it to cope with very big data.
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idk what language you use but for python scikit-learn has a good parallelizable implementation http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html …
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the input `n_jobs` determines the number of cores used. k-means is tricky to parallelize, though
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oooh thanks for the info and motivation, yes, I'm using python. I'll try to see if I can parallelise the code I linked to.

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