MCSim: Determine the Optimal Number of Clusters

Identifies the optimal number of clusters by calculating the similarity between two clustering methods at the same number of clusters using the corrected indices of Rand and Jaccard as described in Albatineh and Niewiadomska-Bugaj (2011). The number of clusters at which the index attain its maximum more frequently is a candidate for being the optimal number of clusters.

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Package details

AuthorAhmed N. Albatineh, Meredith L. Wilcox, Bashar Zogheib, Magdalena Niewiadomska-Bugaj
MaintainerAhmed N. Albatineh <>
Package repositoryView on CRAN
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MCSim documentation built on May 2, 2019, 2:44 a.m.