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>.

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Description file content

Package
RclusTool
Type
Package
Title
Graphical Toolbox for Clustering and Classification of Data Frames
Version
0.91
Date
2019-10-07
Author
Guillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
Maintainer
Pierre-Alexandre Hebert
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) and the methodology provided by Wacquet et al. (2013) .
License
GPL (>= 2)
RoxygenNote
6.1.1
LazyData
TRUE
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
NeedsCompilation
no
Packaged
2019-11-04 08:52:08 UTC; camille
Repository
CRAN
Date/Publication
2019-11-06 14:50:03 UTC
URL

install.packages('RclusTool')

0.91

9 days ago

http://mawenzi.univ-littoral.fr/RclusTool/

Pierre-Alexandre Hebert

GPL (>= 2)

Depends on

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

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