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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: | 0.91.6 |
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 |
Published: | 2024-02-27 |
DOI: | 10.32614/CRAN.package.RclusTool |
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: | 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_0.91.6.tar.gz |
Windows binaries: | r-devel: RclusTool_0.91.6.zip, r-release: RclusTool_0.91.6.zip, r-oldrel: RclusTool_0.91.6.zip |
macOS binaries: | r-release (arm64): RclusTool_0.91.6.tgz, r-oldrel (arm64): RclusTool_0.91.6.tgz, r-release (x86_64): RclusTool_0.91.6.tgz, r-oldrel (x86_64): RclusTool_0.91.6.tgz |
Old sources: | RclusTool archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.