CDF
Centroid Decision Forest for High-Dimensional Classification
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.
- Version0.1.0
- R version3.6
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release11/10/2025
Team
Amjad Ali
MaintainerShow author detailsSaeed Aldahmani
Show author detailsRolesAuthorZardad Khan
Show author detailsRolesAuthor
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