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: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 0.12.11), fda, methods |
| LinkingTo: | Rcpp, RcppProgress, RcppArmadillo |
| Suggests: | rmarkdown, ordinalClust, knitr |
| Published: | 2021-03-29 |
| 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_1.0.2.tar.gz |
| Windows binaries: | r-devel: mixedClust_1.0.2.zip, r-release: mixedClust_1.0.2.zip, r-oldrel: mixedClust_1.0.2.zip |
| macOS binaries: | r-release (arm64): mixedClust_1.0.2.tgz, r-oldrel (arm64): mixedClust_1.0.2.tgz, r-release (x86_64): mixedClust_1.0.2.tgz, r-oldrel (x86_64): mixedClust_1.0.2.tgz |
| Old sources: | mixedClust archive |
| Reverse suggests: | diceR |
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