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 (2020) , Llobell, Vigneau & Qannari (2019) ) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) , Llobell, Giacalone, Labenne & Qannari (2019) ) are the core of this package.


Reference manual

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2.4.0 by Fabien Llobell, 3 months ago

Browse source code at

Authors: Fabien Llobell [aut, cre] (Oniris/XLSTAT) , Evelyne Vigneau [ctb] (Oniris) , Veronique Cariou [ctb] (Oniris) , El Mostafa Qannari [ctb] (Oniris)

Documentation:   PDF Manual  

GPL-3 license

Imports FactoMineR

Suggests ClustVarLV

See at CRAN