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.


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install.packages("ClustBlock")

2.1.0 by Fabien Llobell, 11 days ago


Browse source code at https://github.com/cran/ClustBlock


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