A Partial Clustering Algorithm [R package CrossClustering version 4.1.2]

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年05月14日

DOI: 10.32614/CRAN.package.CrossClustering

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