CRAN: Package Clustering

Clustering: Techniques for Evaluating Clustering

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. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023年12月05日8>.

Version: 1.7.10

Depends: R (≥ 3.5.0)

Imports: amap, apcluster, cluster, ClusterR, data.table, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal

Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders

Published: 2024年04月22日

DOI: 10.32614/CRAN.package.Clustering

Author: Luis Alfonso Perez Martos [aut, cre] (<https://orcid.org/0000-0002-5154-6105>)

Maintainer: Luis Alfonso Perez Martos <lapm0001 at gmail.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://github.com/laperez/clustering

NeedsCompilation: no

CRAN checks: Clustering results

Documentation:

Reference manual: Clustering.html , Clustering.pdf

Downloads:

Package source: Clustering_1.7.10.tar.gz

Windows binaries: r-devel: Clustering_1.7.10.zip, r-release: Clustering_1.7.10.zip, r-oldrel: Clustering_1.7.10.zip

macOS binaries: r-release (arm64): Clustering_1.7.10.tgz, r-oldrel (arm64): Clustering_1.7.10.tgz, r-release (x86_64): Clustering_1.7.10.tgz, r-oldrel (x86_64): Clustering_1.7.10.tgz

Old sources: Clustering archive

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