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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 hsc.edu.kw> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | MCSim results |
| Reference manual: | MCSim.pdf |
| Package source: | MCSim_1.0.tar.gz |
| Windows binaries: | r-devel: MCSim_1.0.zip, r-release: MCSim_1.0.zip, r-oldrel: MCSim_1.0.zip |
| macOS binaries: | r-release (arm64): MCSim_1.0.tgz, r-oldrel (arm64): MCSim_1.0.tgz, r-release (x86_64): MCSim_1.0.tgz, r-oldrel (x86_64): MCSim_1.0.tgz |
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