Hi, Thank you for reply. I was exploring the possibility that given well formed KMean clusters using an additional KNN we can simply increase the accuracy that the data point enters the right cluster.
Also I would like to know whether if it's possible to do such thing(out of curiosity)? On Mon, Mar 12, 2018 at 4:16 PM, Sebastian Raschka <se.rasc...@gmail.com> wrote: > [image: Boxbe] <https://www.boxbe.com/overview> This message is eligible > for Automatic Cleanup! (se.rasc...@gmail.com) Add cleanup rule > <https://www.boxbe.com/popup?url=https%3A%2F%2Fwww.boxbe.com%2Fcleanup%3Fkey%3DUhIxNYq%252BiOO5xmIRDqLAN9uT8i2SvdGQD6ZmBAiV5Qw%253D%26token%3DwAP97NQM%252B2lQ3Y0OhtK0lH%252B9rcytbnIoOPwzoro3VRgCKwYCbmroH9dj%252FRj2KUu51cave7h8uL1DVdrHbDGKqrBg2crT4j1Zor03huy4A%252BrV5JVLofIOzldsuIvWL8BNAJt2H%252FOrHGc%253D&tc_serial=37421443999&tc_rand=1385488240&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001> > | More info > <http://blog.boxbe.com/general/boxbe-automatic-cleanup?tc_serial=37421443999&tc_rand=1385488240&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001> > > Hi, > If you want to predict the Kmeans cluster membership, you can use Kmeans' > predict method instead of training a KNN model on the cluster assignments. > This will be computationally more efficient and give you the correct > assignment at the borders between clusters. > > Best, > Sebastian > > > On Mar 12, 2018, at 2:55 AM, prince gosavi <princegosav...@gmail.com> > wrote: > > > > Hi, > > I have generated clusters using the KMeans algorithm and would like to > use the labels of the model in the KNN. > > > > I don't have the implementation idea but I can visualize it as > > > > KNNmodel = KNN.fit(X, KMeansModel.labels_) > > > > Such that the KNN will predict the cluster the new point belong to. > > > > -- > > Regards > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- Regards
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