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 gmail.com> |
BugReports: | https://github.com/CorradoLanera/CrossClustering/issues |
License: | GPL (≥ 3) |
URL: | https://CRAN.R-project.org/package=CrossClustering |
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: CrossClustering_4.0.3.zip, r-release: CrossClustering_4.0.3.zip, r-oldrel: CrossClustering_4.0.3.zip |
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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