Package: CDF 0.1.0

Amjad Ali

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>.

Authors:Amjad Ali [aut, cre], Saeed Aldahmani [aut], Zardad Khan [aut]

CDF_0.1.0.tar.gz
CDF_0.1.0.zip(r-4.7-any)CDF_0.1.0.zip(r-4.6-any)
CDF_0.1.0.tar.gz(r-4.7-any)CDF_0.1.0.tar.gz(r-4.6-any)
CDF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CDF/json (API)

# Install 'CDF' in R:
install.packages('CDF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • DARWIN - DARWIN Handwriting Dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 237 downloads 1 exports 1 dependencies

Last updated from:28bd829a42. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK85
source / vignettesOK137
linux-releaseOK83
windows-develOK48
windows-releaseOK61
wasm-releaseOK96

Exports:CDF

Dependencies:matrixStats