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improvements to k-means (and one PCA thing) #42
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…ying all the k_init parameters as optional arguments - invite user to use a lambda or something
… allowing optional in-place operation
…airs_l2_distances_squared
@alex - I have made the formatting changes you suggested, and modified k-means to use the euclidean_distances function rather than the local function I had written for that. To keep the same level of speed though, I added a two new optional arguments to the euclidean_distances function. What do you think? |
I did some more PEP8 cosmits and merged it to master. Thank you all :) |
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BUG: restore support for Python 3.4.
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Thanks for the feedback from the pull request I sent this afternoon - I made those changes and more, hopefully you like this set better.