CRAN/E | FairMclus

FairMclus

Clustering for Data with Sensitive Attribute

Installation

About

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".

Key Metrics

Version 2.2.1
Published 2021-11-19 898 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks FairMclus results

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Maintainer

Maintainer

Carlos Santos-Mangudo

carlossantos.csm@gmail.com

Authors

Carlos Santos-Mangudo

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

dplyr
irr
rlist
tidyr
parallel
magrittr
cluster
base
data.table
foreach
doParallel