On Fri, Oct 14, 2016 at 3:27 PM, Anaël Bonneton <anael.bonne...@gmail.com> wrote:
> Hi, > > In the silhouette example (http://scikit-learn.org/ > stable/auto_examples/cluster/plot_kmeans_silhouette_ > analysis.html#sphx-glr-auto-examples-cluster-plot-kmeans- > silhouette-analysis-py), the silhouette values of each sample is computed > twice: once with *silhouette_score *and once with *silhouette_samples.* > The call to *silhouette_score* can be easily avoided by computing the > average of the result of* silhouette_samples*. > > Do you think we should remove the call to *silhouette_score* to improve > the performance ? Or it is better to keep the two functions to show how to > use them ? > Hi, When I wrote it, I intended it to be demonstrative of the two methods. Not sure if we should worry about performance issues there -- Raghav RV https://github.com/raghavrv
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn