ClustBlock

Clustering of Datasets

Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2018) <doi:10.1016/j.foodqual.2018.05.013>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>) are the core of this package.

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Description file content

Package
ClustBlock
Title
Clustering of Datasets
Version
2.0.0
Maintainer
Fabien Llobell
Description
Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2018) ) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) ) are the core of this package.
Depends
R (>= 3.4.0)
License
GPL-3
Encoding
UTF-8
LazyData
true
Imports
FactoMineR
Suggests
ClustVarLV
Date
2019-07-08
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-07-08 13:16:56 UTC; fllobell
Author
Fabien Llobell [aut, cre] (Oniris/XLSTAT), Evelyne Vigneau [ctb] (Oniris), Veronique Cariou [ctb] (Oniris), El Mostafa Qannari [ctb] (Oniris)
Repository
CRAN
Date/Publication
2019-07-08 13:40:03 UTC

install.packages('ClustBlock')

2.0.0

10 days ago

Fabien Llobell

GPL-3

Depends on

R (>= 3.4.0)

Imports

FactoMineR

Suggests

ClustVarLV

Discussions