Hi Thank you I will definitely look into it. On Mar 13, 2018 01:03, "Joel Nothman" <joel.noth...@gmail.com> wrote:
> A meta-estimator for this (generic to which classifier / clusterer) is > coded up at https://github.com/scikit-learn/scikit-learn/issues/ > 4543#issuecomment-91073246 > > We even have a pull request that made an example of this sort of thing at > https://github.com/scikit-learn/scikit-learn/pull/6478, but the original > contributor never responded to comments on it. If someone would like to > make it more persuasive and complete it, ... > > On 13 March 2018 at 02:34, prince gosavi <princegosav...@gmail.com> wrote: > >> 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 >> >> _______________________________________________ >> 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 > >
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
