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.
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1.7.3 by Luis Alfonso Perez Martos, a month ago
https://github.com/laperez/clustering
Browse source code at https://github.com/cran/Clustering
Authors: Luis Alfonso Perez Martos [aut, cre]
Documentation: PDF Manual
GPL (>= 2) license
Imports advclust, amap, apcluster, cluster, ClusterR, data.table, doParallel, dplyr, foreach, future, ggplot2, gmp, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable
Suggests DT, kableExtra, knitr, rmarkdown, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
See at CRAN