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 hsc.edu.kw> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
MCSim results |
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