Package: FairMclus 2.2.1

Carlos Santos-Mangudo

FairMclus: Clustering for Data with Sensitive Attribute

Clustering for categorical and mixed-type of data, to preventing classification biases due to race, gender or others sensitive attributes. This algorithm is an extension of the methodology proposed by "Santos & Heras (2020) <doi:10.28945/4643>".

Authors:Carlos Santos-Mangudo [aut, cre]

FairMclus_2.2.1.tar.gz
FairMclus_2.2.1.tar.gz(r-4.5-noble)FairMclus_2.2.1.tar.gz(r-4.4-noble)
FairMclus_2.2.1.tgz(r-4.4-emscripten)FairMclus_2.2.1.tgz(r-4.3-emscripten)
FairMclus.pdf |FairMclus.html✨
FairMclus/json (API)

# Install 'FairMclus' in R:
install.packages('FairMclus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

1.00 score 242 downloads 1 exports 33 dependencies

Last updated 3 years agofrom:8e7b538a28. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-linuxNOTEFeb 05 2025

Exports:FairMclus

Dependencies:cliclustercodetoolscpp11data.tabledoParalleldplyrfansiforeachgenericsglueirriteratorsjsonlitelifecyclelpSolvemagrittrpillarpkgconfigpurrrR6rlangrliststringistringrtibbletidyrtidyselectutf8vctrswithrXMLyaml