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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | CDF_0.1.0.tar.gz |
453.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | CDF_0.1.0.tar.gz |
453.5 KiB |
0.1.0 |
rolling source/ R- | CDF_0.1.0.tar.gz |
430.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | CDF_0.1.0.tar.gz |
453.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | CDF_0.1.0.tar.gz |
453.5 KiB |
0.1.0 |
latest source/ R- | CDF_0.1.0.tar.gz |
430.8 KiB |
0.1.0 |
2026-04-26 source/ R- | CDF_0.1.0.tar.gz |
430.8 KiB |
0.1.0 |
2026-04-23 source/ R- | CDF_0.1.0.tar.gz |
430.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | CDF_0.1.0.zip |
456.1 KiB |