I think KMediods has come up before. One issues is that it doesn't really scale to large n_samples, right?
There is an implementation mentioned here: https://github.com/scikit-learn/scikit-learn/issues/3799 Do you use it because you have a custom distance matrix? On 07/30/2015 02:27 PM, Sebastian Raschka wrote: > I was looking for K-Medoids too couple of weeks ago and ended up implementing > it myself -- but more like quick & dirty. I would really welcome a nice and > efficient implementation of available via scikit, for example, using voronoi > iteration. > > Best, > Sebastian > >> On Jul 30, 2015, at 1:51 PM, Timo Erkkilä <timo.erkk...@gmail.com> wrote: >> >> Hi all, >> >> I checked and could find no mention of KMedoids in Scikit-Learn. Me and my >> friend have implemented the algorithm in Python, and were wondering if it >> could be brought into Scikit-Learn. Thoughts? >> >> >> Cheers, >> Timo >> >> >> PS: I am new to the mailing list, so please guide me in case I am doing >> something wrong here. >> >> ------------------------------------------------------------------------------ >> _______________________________________________ >> 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 ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
