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
Depends: R (≥ 3.1.0)
Published: 2015-04-13
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

Downloads:

Reference manual: NbClust.pdf
Package source: NbClust_3.0.tar.gz
Windows binaries: r-devel: NbClust_3.0.zip, r-release: NbClust_3.0.zip, r-oldrel: NbClust_3.0.zip
macOS binaries: r-release: NbClust_3.0.tgz, r-oldrel: NbClust_3.0.tgz
Old sources: NbClust archive

Reverse dependencies:

Reverse imports: CluMP, expands, gama, iCellR, OMICsPCA, QuantumClone, s2dverification, traj
Reverse suggests: ChemoSpec, liayson, parameters, pavo, see, Thresher, wrMisc

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