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
Repository: CRAN
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
NeedsCompilation: no
Packaged: 2024-04-22 18:47:54 UTC; luis
Depends: R (>= 3.5.0)
Date/Publication: 2024-04-22 19:10:11 UTC
Built: R 4.6.0; ; 2026-04-26 12:12:25 UTC; unix
