hetcorFS: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix

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.

Version:	1.0
Depends:	R (≥ 3.5.0)
Imports:	polycor, dplyr, cluster, graphics, psych
Published:	2025-10-28
DOI:	10.32614/CRAN.package.hetcorFS (may not be active yet)
Author:	Cristina Tortora [aut, cre, fnd], Antonio Punzo [aut], Shaam Madhvani [aut]
Maintainer:	Cristina Tortora <grikris1 at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	hetcorFS results

Documentation:

Reference manual:

hetcorFS.html , hetcorFS.pdf

Downloads:

Package source:	hetcorFS_1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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