k-means isn't a convex problem, unless you freeze the initialization, you are going to get very different solutions (depending on the dataset) with different initializations.
On Thu, Jun 6, 2019 at 12:05 AM lampahome <pahome.c...@mirlab.org> wrote: > I tried MiniBatchKMeans with two order: > fit -> partial_fit > partial_fit -> partial_fit > > The clustering results are different > > what's their difference? > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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