Hi, I was wondering about the KMeans implementation in scikit-learn. From a quick scan of the code I see that the main stuff is implemented in Cython but it's spread in two different functions for the m- and the e-step and the main loop is in python. I'm using my own KMeans routine written as a Python C-module making use of OpenMP (it actually scales really well).
For consistency I would like to switch to scikit-learn completely so I could either make a new KMeans classifier (there's already KMeans and MiniBatchKMeans), maybe call it KMeansParallel or so. Or I could modify the existing KMeans classifier. What do you think is more appropriate? Cheers, Benni
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