Clustering: Execution of Multiple Clustering Algorithm

The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.

Version: 1.6
Depends: R (≥ 3.5.0)
Imports: apcluster, cluster, ClusterR, advclust, pvclust, gama, amap, stats, pracma, tools, gmp, utils, xtable, sqldf, data.table, ggplot2, glue
Suggests: knitr, rmarkdown, kableExtra, tidyverse
Published: 2020-04-23
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Clustering results

Downloads:

Reference manual: Clustering.pdf
Vignettes: Clustering Package
Package source: Clustering_1.6.tar.gz
Windows binaries: r-prerelease: Clustering_1.4.zip, r-release: Clustering_1.5.zip, r-oldrel: Clustering_1.5.zip
macOS binaries: r-prerelease: Clustering_1.2.tgz, r-release: Clustering_1.6.tgz, r-oldrel: not available
Old sources: Clustering archive

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