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clusterGeneration
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]
[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
Previous versions and publish date:
Other packages that cited clusterGeneration R package
View clusterGeneration citation profile
Other R packages that clusterGeneration depends,
imports, suggests or enhances
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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