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., GarcÃa-Vico, Ã.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., GarcÃa-Vico, Ã.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., GarcÃa-Vico, Ã.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
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: 2024-04-22 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Clustering to link to this page.
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