CrossClustering: A Partial Clustering Algorithm

Provide the 'CrossClustering' algorithm (Tellaroli et al. (2016) <doi:10.1371/journal.pone.0152333>), which is a partial clustering algorithm that combines the Ward's minimum variance and Complete Linkage algorithms, providing automatic estimation of a suitable number of clusters and identification of outlier elements.

Version: 4.1.2
Depends: R (≥ 4.1)
Imports: checkmate, cli, cluster, crayon, dplyr, flip, mclust, purrr, utils
Suggests: covr, devtools, lintr, roxygen2, spelling, testthat, usethis
Published: 2024-05-14
DOI: NA
Author: Paola Tellaroli [cre, aut], Marco Bazzi [aut], Michele Donato [aut], Livio Finos [aut], Philippe Courcoux [aut], Corrado Lanera [aut]
Maintainer: Paola Tellaroli <paola.tellaroli at gmail.com>
BugReports: https://github.com/CorradoLanera/CrossClustering/issues
License: GPL-3
URL: https://CRAN.R-project.org/package=CrossClustering
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: CrossClustering results

Documentation:

Reference manual: CrossClustering.pdf

Downloads:

Package source: CrossClustering_4.1.2.tar.gz
Windows binaries: r-devel: CrossClustering_4.1.2.zip, r-release: CrossClustering_4.1.2.zip, r-oldrel: CrossClustering_4.1.2.zip
macOS binaries: r-release (arm64): CrossClustering_4.1.2.tgz, r-oldrel (arm64): CrossClustering_4.1.2.tgz, r-release (x86_64): CrossClustering_4.1.2.tgz, r-oldrel (x86_64): CrossClustering_4.1.2.tgz
Old sources: CrossClustering archive

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