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CDF  

Centroid Decision Forest for High-Dimensional Classification
View on CRAN: Click here


Download and install CDF package within the R console
Install from CRAN:
install.packages("CDF")

Install from Github:
library("remotes")
install_github("cran/CDF")

Install by package version:
library("remotes")
install_version("CDF", "0.1.0")



Attach the package and use:
library("CDF")
Maintained by
Amjad Ali
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-10
Latest Update: 2025-11-10
Description:
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>.
How to cite:
Amjad Ali (2025). CDF: Centroid Decision Forest for High-Dimensional Classification. R package version 0.1.0, https://cran.r-project.org/web/packages/CDF. Accessed 21 Aug. 2026.
Previous versions and publish date:
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View CDF citation profile
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Complete documentation for CDF
Functions, R codes and Examples using the CDF R package
Full CDF package functions and examples
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