doi:10.48550/arXiv.2503.19306>.">

CDF: Centroid Decision Forest for High-Dimensional Classification (original) (raw)

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
License: MIT + file
NeedsCompilation: no
CRAN checks: CDF results

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