RAFS: Robust Aggregative Feature Selection

A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.

Version: 0.2.3
Depends: R (≥ 4.2.0)
Imports: fastcluster, MDFS (≥ 1.5.3), splitTools
Published: 2023-07-10
Author: Radosław Piliszek [aut, cre]
Maintainer: Radosław Piliszek <radoslaw.piliszek at gmail.com>
License: GPL-3
URL: https://www.mdfs.it/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RAFS results


Reference manual: RAFS.pdf


Package source: RAFS_0.2.3.tar.gz
Windows binaries: r-devel: RAFS_0.2.3.zip, r-release: RAFS_0.2.3.zip, r-oldrel: RAFS_0.2.3.zip
macOS binaries: r-release (arm64): RAFS_0.2.3.tgz, r-oldrel (arm64): RAFS_0.2.3.tgz, r-release (x86_64): RAFS_0.2.3.tgz, r-oldrel (x86_64): RAFS_0.2.3.tgz
Old sources: RAFS archive


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