mixedClust: 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.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.11), fda, methods
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
Suggests: rmarkdown, ordinalClust, knitr
Published: 2019-09-05
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: mixedClust results


Reference manual: mixedClust.pdf
Vignettes: mixedClust
Package source: mixedClust_1.0.1.tar.gz
Windows binaries: r-devel: mixedClust_1.0.1.zip, r-release: mixedClust_1.0.1.zip, r-oldrel: mixedClust_1.0.1.zip
macOS binaries: r-release: mixedClust_1.0.1.tgz, r-oldrel: mixedClust_1.0.1.tgz
Old sources: mixedClust archive


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