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>".
Version: 2.2.1 Imports: dplyr, irr, rlist, tidyr, parallel, magrittr, cluster, base, data.table, foreach, doParallel Published: 2021-11-19 DOI: 10.32614/CRAN.package.FairMclus Author: Carlos Santos-Mangudo [aut, cre] Maintainer: Carlos Santos-Mangudo <carlossantos.csm at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: FairMclus results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=FairMclus to link to this page.
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