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.

Version: 1.0
Depends: R (≥ 3.1.0)
Imports: MASS, CircStats, stats, graphics
Published: 2018-10-08
Author: Ahmed N. Albatineh, Meredith L. Wilcox, Bashar Zogheib, Magdalena Niewiadomska-Bugaj
Maintainer: Ahmed N. Albatineh <aalbatineh at>
License: GPL-2
NeedsCompilation: no
CRAN checks: MCSim results


Reference manual: MCSim.pdf
Package source: MCSim_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: MCSim_1.0.tgz, r-oldrel: MCSim_1.0.tgz


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