Hi Fred and Michel, Thanks for the reply . I think I git this and am able to run it.
Best Jagan On Mon, Jun 27, 2016 at 1:03 PM, Fred Mailhot <[email protected]> wrote: > Per the example here: > > http://scikit-learn.org/stable/auto_examples/text/document_clustering.html > > if your inputs are normalized, sklearn's kmeans behaves like sperical > kmeans (unless I'm misunderstanding something, which is certainly possible, > caveat lector, &c )... > On Jun 27, 2016 12:13 PM, "Michael Eickenberg" < > [email protected]> wrote: > >> hmm, not an answer, and off the top of my head: >> if you normalize your data points to l2 norm equal 1, and then use >> standard kmeans with euclidean distance (which then amounts to 2 - 2 >> cos(angle between points)) would this be enough for your purposes? (with a >> bit of luck there may even be some sort of correspondence) >> >> Michael >> >> On Monday, June 27, 2016, JAGANADH G <[email protected]> wrote: >> >>> Hi , >>> is there any Python package available for experiment with Sperical >>> Kmeans ? >>> >>> >>> -- >>> ********************************** >>> JAGANADH G >>> http://jaganadhg.in >>> *ILUGCBE* >>> http://ilugcbe.org.in >>> >> >> _______________________________________________ >> scikit-learn mailing list >> [email protected] >> https://mail.python.org/mailman/listinfo/scikit-learn >> >> > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > > -- ********************************** JAGANADH G http://jaganadhg.in *ILUGCBE* http://ilugcbe.org.in
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