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.archives-ouvertes.fr/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("mixedClust")

1.0.1 by Margot Selosse, 17 days ago


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


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