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ClusterStability
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]
[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 08 Oct. 2026.
Previous versions and publish date:
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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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