Thank you Joel. I will try to make and definitely try to contribute. Thanks again for fast reply.
On Wed, Oct 14, 2015 at 2:32 PM, Joel Nothman <joel.noth...@gmail.com> wrote: > Yes, simply set n_clusters=KMeans(). In fact, it's a pity we don't have an > example of this feature in the examples gallery and contributions are > welcome! > > On 14 October 2015 at 23:27, Dženan Softić <dzen...@gmail.com> wrote: > >> Hi, >> >> I would like to change the global step of BIRCH algorithm to be performed >> using K-means instead of AgglomerativeClustering. Is something like that >> possible? >> >> My goal is to use BIRCH for a streaming data and try to improve output >> quality. The idea is to use BIRCH subclusters to estimate the number of >> clusters K for K-means (e.g. Gap statistics), and then run K-means as a >> final step. >> >> Thank you. >> >> Best, >> Dzenan >> >> >> ------------------------------------------------------------------------------ >> >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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