RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

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>.

Version: 0.91.3
Depends: R (≥ 3.0.0), tcltk, tcltk2, tkrplot
Imports: class, cluster, conclust, corrplot, e1071, factoextra, FactoMineR, ggplot2, grid, jpeg, MASS, mclust, mda, mmand, nnet, png, randomForest, reshape, sp, stringi, stringr, tools
Published: 2020-02-04
Author: Guillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
Maintainer: Pierre-Alexandre Hebert <hebert at univ-littoral.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://mawenzi.univ-littoral.fr/RclusTool/
NeedsCompilation: no
SystemRequirements: XQuartz (on OSX)
Citation: RclusTool citation info
CRAN checks: RclusTool results


Reference manual: RclusTool.pdf
Package source: RclusTool_0.91.3.tar.gz
Windows binaries: r-devel: RclusTool_0.91.3.zip, r-release: RclusTool_0.91.3.zip, r-oldrel: RclusTool_0.91.3.zip
macOS binaries: r-release (arm64): RclusTool_0.91.3.tgz, r-release (x86_64): RclusTool_0.91.3.tgz, r-oldrel: RclusTool_0.91.3.tgz
Old sources: RclusTool archive


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