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.
- Version0.2.5
- R versionR (≥ 4.2.0)
- LicenseGPL-3
- Needs compilation?No
- Last release01/29/2025
Documentation
Team
Radosław Piliszek
MaintainerShow author detailsWitold Remigiusz Rudnicki
Show author detailsRolesThesis advisor, Author
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