Co-Clustering of Mixed Type Data

Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.


Reference manual

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1.0.2 by Margot Selosse, 6 months ago

Browse source code at

Authors: Margot Selosse , Julien Jacques , Christophe Biernacki

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, fda, methods

Suggests rmarkdown, ordinalClust, knitr

Linking to Rcpp, RcppProgress, RcppArmadillo

System requirements: C++11

See at CRAN