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.
- Version1.0
- R version≥ 3.1.0
- LicenseGPL-2
- Needs compilation?No
- Last release10/08/2018
Team
Ahmed N. Albatineh
Meredith L. Wilcox
Bashar Zogheib
Magdalena Niewiadomska-Bugaj
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages