Hi, all, I am a little bit confused about the two related metrics silhouette_score and silhouette_samples. The silhouette_samples calculates the silhouette coefficient for each sample and returns an array of those. However, I am wondering if I interpret the silhouette_score correctly. Based on the documentation at http://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html I assume that it's just the average of the silhouette coefficients, which can be confirmed by running, e.g.,
np.mean(silhouette_samples(X, y, metric='euclidean')) Now, I am wondering why silhouette_score has this additional random_state parameter? Best, Sebastian ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
