Package: Clustering
Type: Package
Title: Techniques for Evaluating Clustering
Description: 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.2023.12.058>.
Version: 1.7.10
Date: 2024-04-20
Author: Luis Alfonso Perez Martos [aut, cre]
        (<https://orcid.org/0000-0002-5154-6105>)
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
URL: https://github.com/laperez/clustering
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
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
Config/pak/sysreqs: cmake libgmp3-dev make libuv1-dev libssl-dev
        zlib1g-dev
Repository: https://laperez.r-universe.dev
Date/Publication: 2024-04-22 20:31:51 UTC
RemoteUrl: https://github.com/laperez/clustering
RemoteRef: HEAD
RemoteSha: c6acacce9f3197343745efce2727dfdead8f3a7b
NeedsCompilation: no
Packaged: 2026-06-19 08:46:57 UTC; root
Depends: R (>= 3.5.0)