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
