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: 4.0.3
Depends: R (≥ 3.1)
Imports: cluster, mclust, flip, magrittr, purrr, utils, assertive, crayon, glue, cli, dplyr
Suggests: testthat, covr, roxygen2
Published: 2018-07-30
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>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CrossClustering results


Reference manual: CrossClustering.pdf
Package source: CrossClustering_4.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: CrossClustering_4.0.3.tgz, r-oldrel: CrossClustering_4.0.3.tgz
Old sources: CrossClustering archive


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