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) < https://hal.science/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.


Reference manual

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install.packages("mixedClust")

1.0.2.1 by Julien Jacques, 4 months ago


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


Authors: Margot Selosse [aut] , Julien Jacques [aut, cre] , Christophe Biernacki [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, fda, methods

Suggests rmarkdown, ordinalClust, knitr

Linking to Rcpp, RcppProgress, RcppArmadillo


Suggested by diceR.


See at CRAN