clusterGeneration: Random Cluster Generation (with Specified Degree of Separation)

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.

Version:	1.3.7
Depends:	R (≥ 3.5.0), MASS
Published:	2020-12-15
Author:	Weiliang Qiu, Harry Joe.
Maintainer:	Weiliang Qiu <weiliang.qiu at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
In views:	Cluster
CRAN checks:	clusterGeneration results

Documentation:

Reference manual:

clusterGeneration.pdf

Downloads:

Package source:	clusterGeneration_1.3.7.tar.gz
Windows binaries:	r-devel: clusterGeneration_1.3.7.zip, r-release: clusterGeneration_1.3.7.zip, r-oldrel: clusterGeneration_1.3.7.zip
macOS binaries:	r-release (arm64): clusterGeneration_1.3.7.tgz, r-oldrel (arm64): clusterGeneration_1.3.7.tgz, r-release (x86_64): clusterGeneration_1.3.7.tgz, r-oldrel (x86_64): clusterGeneration_1.3.7.tgz
Old sources:	clusterGeneration archive

Reverse dependencies:

Reverse depends:	remaCor
Reverse imports:	corTest, DoubleML, FracKrigingR, mlVAR, phytools, rEMM, skewMLRM, stream
Reverse suggests:	mvnimpute

Linking:

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