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MCSim  

Determine the Optimal Number of Clusters
View on CRAN: Click here


Download and install MCSim package within the R console
Install from CRAN:
install.packages("MCSim")

Install from Github:
library("remotes")
install_github("cran/MCSim")

Install by package version:
library("remotes")
install_version("MCSim", "1.0")



Attach the package and use:
library("MCSim")
Maintained by
Ahmed N. Albatineh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-08
Latest Update: 2018-10-08
Description:
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.
How to cite:
Ahmed N. Albatineh (2018). MCSim: Determine the Optimal Number of Clusters. R package version 1.0, https://cran.r-project.org/web/packages/MCSim. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for MCSim
Functions, R codes and Examples using the MCSim R package
Some associated functions: main . 
Some associated R codes: MCS_PKG.R .  Full MCSim package functions and examples
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