CRAN/E | RclusTool

RclusTool

Graphical Toolbox for Clustering and Classification of Data Frames

Installation

About

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.

Citation RclusTool citation info
System requirements XQuartz (on OSX)

Key Metrics

Version 0.91.6
R ≥ 3.0.0
Published 2024-02-27 112 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks RclusTool results

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Maintainer

Maintainer

Pierre-Alexandre Hebert

Authors

Guillaume Wacquet

aut

Pierre-Alexandre Hebert

aut / cre

Emilie Poisson

aut

Pierre Talon

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RclusTool archive

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