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clusterGeneration  

Random Cluster Generation (with Specified Degree of Separation)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clusterGeneration", "1.3.8")



Attach the package and use:
library("clusterGeneration")
Maintained by
Weiliang Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-11-13
Latest Update: 2023-08-16
Description:
We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
How to cite:
Weiliang Qiu (2006). clusterGeneration: Random Cluster Generation (with Specified Degree of Separation). R package version 1.3.8, https://cran.r-project.org/web/packages/clusterGeneration. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.2.0 (2006-11-13 10:23), 1.2.1 (2007-07-07 20:46), 1.2.4 (2007-10-30 21:30), 1.2.7 (2009-02-04 20:59), 1.2.8 (2012-03-20 06:53), 1.2.9 (2012-04-02 19:47), 1.3.1 (2013-01-08 08:31), 1.3.4 (2015-02-18 19:34), 1.3.5 (2020-10-05 09:30), 1.3.6 (2020-11-22 18:20), 1.3.7 (2020-12-15 08:00)
Other packages that cited clusterGeneration R package
View clusterGeneration citation profile
Other R packages that clusterGeneration depends, imports, suggests or enhances
Complete documentation for clusterGeneration
Functions, R codes and Examples using the clusterGeneration R package
Some associated functions: genOrthogonal . genPositiveDefMat . genRandomClust . getSepProj . nearestNeighborSepVal . plot1DProjection . plot2DProjection . rcorrmatrix . sepIndex . simClustDesign . viewClusters . 
Some associated R codes: genCluster.R . hjrancor.R . rcvine.R . ronion.R . separation.R . simClustDesign.R . visual.R .  Full clusterGeneration package functions and examples
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