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hetcorFS  

Unsupervised Feature Selection using the Heterogeneous Correlation Matrix
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hetcorFS", "1.0.1")



Attach the package and use:
library("hetcorFS")
Maintained by
Cristina Tortora
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-28
Latest Update: 2025-10-28
Description:
Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features,and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review. Forthcoming.
How to cite:
Cristina Tortora (2025). hetcorFS: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix. R package version 1.0.1, https://cran.r-project.org/web/packages/hetcorFS. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 1.0 (2025-10-28 09:40)
Other packages that cited hetcorFS R package
View hetcorFS citation profile
Other R packages that hetcorFS depends, imports, suggests or enhances
Complete documentation for hetcorFS
Functions, R codes and Examples using the hetcorFS R package
Full hetcorFS package functions and examples
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