NbClust: Determining the Best Number of Clusters in a Data Set

It provides 30 indexes for determining the optimal number of clusters in a data set and offers the best clustering scheme from different results to the user.

Version: 3.0.1
Depends: R (≥ 3.1.0)
Published: 2022-05-02
DOI: 10.32614/CRAN.package.NbClust
Author: Malika Charrad and Nadia Ghazzali and Veronique Boiteau and Azam Niknafs
Maintainer: Malika Charrad <malika.charrad.1 at ulaval.ca>
License: GPL-2
URL: https://sites.google.com/site/malikacharrad/research/nbclust-package
NeedsCompilation: no
Citation: NbClust citation info
In views: Cluster
CRAN checks: NbClust results


Reference manual: NbClust.pdf


Package source: NbClust_3.0.1.tar.gz
Windows binaries: r-devel: NbClust_3.0.1.zip, r-release: NbClust_3.0.1.zip, r-oldrel: NbClust_3.0.1.zip
macOS binaries: r-release (arm64): NbClust_3.0.1.tgz, r-oldrel (arm64): NbClust_3.0.1.tgz, r-release (x86_64): NbClust_3.0.1.tgz, r-oldrel (x86_64): NbClust_3.0.1.tgz
Old sources: NbClust archive

Reverse dependencies:

Reverse imports: BOBaFIT, CluMP, iCellR, MultivariateAnalysis, OMICsPCA, opGMMassessment, RCSL, s2dv, ssMutPA
Reverse suggests: ChemoSpec, parameters, see, Thresher, wrMisc


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