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 |
Reference manual: | Clustering.pdf |
Vignettes: |
Clustering Package |
Package source: | Clustering_1.6.tar.gz |
Windows binaries: | r-devel: Clustering_1.6.zip, r-release: Clustering_1.6.zip, r-oldrel: Clustering_1.6.zip |
macOS binaries: | r-release: Clustering_1.6.tgz, r-oldrel: Clustering_1.6.tgz |
Old sources: | Clustering archive |
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