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: RclusTool_0.91.3.tgz, r-oldrel: RclusTool_0.91.3.tgz |
| Old sources: | RclusTool archive |
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