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

Version: 1.0.2.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.11), fda, methods
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
Suggests: rmarkdown, ordinalClust, knitr
Published: 2026-06-17
DOI: 10.32614/CRAN.package.mixedClust
Author: Margot Selosse [aut], Julien Jacques [aut, cre], Christophe Biernacki [aut]
Maintainer: Julien Jacques <julien.jacques at univ-lyon2.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mixedClust results

Documentation:

Reference manual: mixedClust.html , mixedClust.pdf
Vignettes: mixedClust (source)

Downloads:

Package source: mixedClust_1.0.2.1.tar.gz
Windows binaries: r-devel: mixedClust_1.0.2.1.zip, r-release: mixedClust_1.0.2.1.zip, r-oldrel: mixedClust_1.0.2.1.zip
macOS binaries: r-release (arm64): mixedClust_1.0.2.1.tgz, r-oldrel (arm64): mixedClust_1.0.2.1.tgz, r-release (x86_64): mixedClust_1.0.2.1.tgz, r-oldrel (x86_64): mixedClust_1.0.2.1.tgz
Old sources: mixedClust archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.