> Thanks for the explanations. But what am seeing is that if I feed a data with > 3K features/attributes the "cluster_centers_ method will give 3K values for > each clusters.
Yes, that’s correct! > My objective is to give a name to each cluster based on the feature names > closest to the centroids . Hm, doesn’t sound like you are looking for k-means then. Since you have 3K "coordinate system” the centroids will also be 3K, what you essentially do is finding the samples closest to the centroid, not the features. Maybe a crazy thing to do (and I haven’t thought about it thoroughly): you could transpose the input matrix so that you feed (n_features, n_samples) instead of (n_samples, n_features). Not sure if it makes sense though. > On May 2, 2016, at 2:39 PM, JAGANADH G <jagana...@gmail.com> wrote: > > Hi Sebastian, > Thanks for the explanations. But what am seeing is that if I feed a data with > 3K features/attributes the "cluster_centers_ method will give 3K values for > each clusters. My objective is to give a name to each cluster based on the > feature names closest to the centroids . > > Best > > Jagan > > On Fri, Apr 29, 2016 at 5:09 PM, Sebastian Raschka <se.rasc...@gmail.com> > wrote: > Hi, Jaganadh, > > it looks like you ran k-means on a 2-dimensional dataset (i.e., a dataset > with 2 feature variables) and k=3. Thus, the results mean that these three > cluster centers (or “centroids”) are the centers of the 3 clusters that > k-means attempted to discover. Or in other words, there are 3 globular > spheres with its center points > > > [ 1.01505989, -0.70632886], [ 0.33475124, 0.89126382], and [-1.287003 , > > -0.43512572] > > and each of the training points will be closest to one of these centroids, > which defines the cluster a training point has been assigned to. Here’s a > figure of how it could look like when plotted in a 2D scatterplot, hopefully, > it makes it more clear: > https://raw.githubusercontent.com/rasbt/mlxtend/master/docs/sources/user_guide/cluster/Kmeans_files/Kmeans_17_0.png > > Best, > Sebastian > > > > On Apr 29, 2016, at 7:59 PM, JAGANADH G <jagana...@gmail.com> wrote: > > > > Hi , > > After performing clustering, the cluster centers can be extracted via > > .cluster_centers_. > > > > A sample result is > > > > kmeans.cluster_centers_ > > array([[ 1.01505989, -0.70632886], > > [ 0.33475124, 0.89126382], > > [-1.287003 , -0.43512572]]) > > > > How can I interpret these values. > > > > Can somebody help me understanding this document bit detail > > > > cluster_centers_ : array, [n_clusters, n_features] > > Coordinates of cluster centers > > > > -- > > ********************************** > > JAGANADH G > > http://jaganadhg.in > > ILUGCBE > > http://ilugcbe.org.in > > ------------------------------------------------------------------------------ > > Find and fix application performance issues faster with Applications Manager > > Applications Manager provides deep performance insights into multiple tiers > > of > > your business applications. It resolves application problems quickly and > > reduces your MTTR. Get your free trial! > > https://ad.doubleclick.net/ddm/clk/302982198;130105516;z_______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > Find and fix application performance issues faster with Applications Manager > Applications Manager provides deep performance insights into multiple tiers of > your business applications. It resolves application problems quickly and > reduces your MTTR. Get your free trial! > https://ad.doubleclick.net/ddm/clk/302982198;130105516;z > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > -- > ********************************** > JAGANADH G > http://jaganadhg.in > ILUGCBE > http://ilugcbe.org.in > ------------------------------------------------------------------------------ > Find and fix application performance issues faster with Applications Manager > Applications Manager provides deep performance insights into multiple tiers of > your business applications. It resolves application problems quickly and > reduces your MTTR. Get your free trial! > https://ad.doubleclick.net/ddm/clk/302982198;130105516;z_______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Find and fix application performance issues faster with Applications Manager Applications Manager provides deep performance insights into multiple tiers of your business applications. It resolves application problems quickly and reduces your MTTR. Get your free trial! https://ad.doubleclick.net/ddm/clk/302982198;130105516;z _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
