On 06/18/2015 09:38 AM, Kyle Kastner wrote: > Minibatch K-means should work just fine. Alternatively there are > hebbian K-means approaches which are quite easy to implement and > should be fast (though I think it basically boils down to minibatch > K-means, I haven't looked at details of minibatch K-means). There is > an approach here http://www.iro.umontreal.ca/~memisevr/code.html > <http://www.iro.umontreal.ca/%7Ememisevr/code.html> that could be > useful once the website is fixed... Or using DBSCAN or BIRCH or using Agglomerative Clustering should work fine, too.
------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general