Package: RclusTool
Type: Package
Title: Graphical Toolbox for Clustering and Classification of Data
        Frames
Version: 0.91.6
Date: 2024-07-27
Authors@R: c(   person("Guillaume", "Wacquet", role = c("aut"),
                     email = "wacquet@univ-littoral.fr"),
		        person("Pierre-Alexandre", "Hebert", role = c("aut", "cre"),
                    email = "hebert@univ-littoral.fr"),               
                person("Emilie", "Poisson", role = c("aut"),
                     email = "poisson@univ-littoral.fr"),
                person("Pierre", "Talon", role = c("aut"),
                     email = "p_talon@hotmail.fr"))
Author: Guillaume Wacquet [aut],
  Pierre-Alexandre Hebert [aut, cre],
  Emilie Poisson [aut],
  Pierre Talon [aut]
Maintainer: Pierre-Alexandre Hebert <hebert@univ-littoral.fr>
Description: Graphical toolbox for clustering and classification of data frames.
    It proposes a graphical interface to process clustering and classification methods on features
    data-frames, and to view initial data as well as resulted cluster or classes. According to the
    level of available labels, different approaches are proposed: unsupervised clustering,
    semi-supervised clustering and supervised classification. 
    To assess the processed clusters or classes, the toolbox can import and show some supplementary
    data formats: either profile/time series, or images. 
    These added information can help the expert to label clusters (clustering), or to constrain data
    frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by 
    Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by 
    Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.
License: GPL (>= 2)
RoxygenNote: 7.2.3
Depends: R (>= 3.0.0), tcltk, tcltk2, tkrplot
Imports: class, cluster, conclust, corrplot, e1071, factoextra,
        FactoMineR, ggplot2, grid, jpeg, knitr, MASS, mclust, mda,
        mmand, nnet, png, randomForest, reshape, rlang, SearchTrees,
        sp, stats, stringi, stringr, tools
SystemRequirements: XQuartz (on OSX)
NeedsCompilation: no
Packaged: 2024-02-27 17:49:13 UTC; hebert
Repository: CRAN
Date/Publication: 2024-02-27 19:10:02 UTC
URL: mawenzi.univ-littoral.fr/RclusTool
Built: R 4.6.0; ; 2025-05-04 04:06:22 UTC; windows
