qcluster: Clustering via Quadratic Scoring

Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.

Version:	1.2
Imports:	cluster, doParallel, foreach, grDevices, graphics, iterators, methods, parallel, stats
Published:	2024-12-06
DOI:	10.32614/CRAN.package.qcluster
Author:	Luca Coraggio [cre, aut] (Homepage: <https://luca-coraggio.com>), Pietro Coretto [aut] (Homepage: <https://pietro-coretto.github.io>)
Maintainer:	Luca Coraggio <luca.coraggio at unina.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	qcluster citation info
Materials:	NEWS
CRAN checks:	qcluster results

Documentation:

Reference manual:

qcluster.pdf

Downloads:

Package source:	qcluster_1.2.tar.gz
Windows binaries:	r-devel: qcluster_1.2.zip, r-release: qcluster_1.2.zip, r-oldrel: qcluster_1.2.zip
macOS binaries:	r-release (arm64): qcluster_1.2.tgz, r-oldrel (arm64): qcluster_1.2.tgz, r-release (x86_64): qcluster_1.2.tgz, r-oldrel (x86_64): qcluster_1.2.tgz

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