Using Silhouette width to define the stopping rule. As an addendum to the main work, we tested the use of the Silhouette width as a characteristic measure from which to decide the correct number of clusters. We ran the deterministic methods once each. We also ran the stochastic Clara and k-means algorithms 100 times each for every number of clusters, k, between 2 and 50. The run with the best Silhouette width for a given algorithm was selected, thus deciding the number of clusters to report.