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 <[email protected]> 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 > [email protected] > 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 [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
