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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

Documentation:

Reference manual: NbClust.pdf

Downloads:

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, HVT, iCellR, MOSClip, MultivariateAnalysis, OMICsPCA, opGMMassessment, RCSL, s2dv, SCDA, ssMutPA
Reverse suggests: ChemoSpec, parameters, see, Thresher, wrMisc

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NbClust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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