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ClusterStability  

Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ClusterStability", "1.0.4")



Attach the package and use:
library("ClusterStability")
Maintained by
Etienne Lord
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-15
Latest Update: 2023-03-07
Description:
Allows one to assess the stability of individual objects, clusters and whole clustering solutions based on repeated runs of the K-means and K-medoids partitioning algorithms.
How to cite:
Etienne Lord (2015). ClusterStability: Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions. R package version 1.0.4, https://cran.r-project.org/web/packages/ClusterStability. Accessed 07 Aug. 2026.
Previous versions and publish date:
1.0.0 (2015-09-15 01:01), 1.0.1 (2015-09-15 16:28), 1.0.2 (2015-10-14 23:41), 1.0.3 (2016-02-08 23:52), (2026-07-09 08:00)
Other packages that cited ClusterStability R package
View ClusterStability citation profile
Other R packages that ClusterStability depends, imports, suggests or enhances
Complete documentation for ClusterStability
Functions, R codes and Examples using the ClusterStability R package
Some associated functions: ClusterStability-package . ClusterStability . ClusterStability_exact . Kcombination . Reorder . Stirling2nd . undocumented . 
Some associated R codes: ClusterStability.R . RcppExports.R .  Full ClusterStability package functions and examples
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