High-Performance Open-Source Archive
Implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.6) |
| Imports: | matrixStats, utils |
| Published: | 2025-11-10 |
| DOI: | 10.32614/CRAN.package.CDF |
| Author: | Amjad Ali [aut, cre], Saeed Aldahmani [aut], Zardad Khan [aut] |
| Maintainer: | Amjad Ali <amjadali at uaeu.ac.ae> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | CDF results |
| Reference manual: | CDF.html , CDF.pdf |
| Package source: | CDF_0.1.0.tar.gz |
| Windows binaries: | r-devel: CDF_0.1.0.zip, r-release: CDF_0.1.0.zip, r-oldrel: CDF_0.1.0.zip |
| macOS binaries: | r-release (arm64): CDF_0.1.0.tgz, r-oldrel (arm64): CDF_0.1.0.tgz, r-release (x86_64): CDF_0.1.0.tgz, r-oldrel (x86_64): CDF_0.1.0.tgz |
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