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mixedClust  

Co-Clustering of Mixed Type Data
View on CRAN: Click here


Download and install mixedClust package within the R console
Install from CRAN:
install.packages("mixedClust")

Install from Github:
library("remotes")
install_github("cran/mixedClust")

Install by package version:
library("remotes")
install_version("mixedClust", "1.0.2")



Attach the package and use:
library("mixedClust")
Maintained by
Margot Selosse
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-04
Latest Update: 2021-03-29
Description:
Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) . It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.
How to cite:
Margot Selosse (2019). mixedClust: Co-Clustering of Mixed Type Data. R package version 1.0.2, https://cran.r-project.org/web/packages/mixedClust
Previous versions and publish date:
1.0.0 (2019-09-04 11:00), 1.0.1 (2019-09-05 04:10), 1.0.2 (2021-03-29 16:00)
Other packages that cited mixedClust R package
View mixedClust citation profile
Other R packages that mixedClust depends, imports, suggests or enhances
Functions, R codes and Examples using the mixedClust R package
Some associated functions: M1 . mixedCoclust . 
Some associated R codes: RcppExports.R . check-params-module.R . classesDef.R . functional-module.R . mixedCoclust.R .  Full mixedClust package functions and examples
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