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: 1.7.1
Depends: R (≥ 3.5.0)
Imports: advclust, amap, apcluster, cluster, ClusterR, data.table, doParallel, dplyr, foreach, future, gama, ggplot2, gmp, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable
Suggests: DT, kableExtra, knitr, rmarkdown, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
Published: 2020-12-04
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Clustering results


Reference manual: Clustering.pdf
Vignettes: Techniques for Evaluating Clustering Data in R. The **Clustering** Package
Package source: Clustering_1.7.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: Clustering_1.7.1.tgz, r-oldrel: Clustering_1.7.1.tgz
Old sources: Clustering archive


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