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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 |
| 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 |
| Reference manual: | FairMclus.pdf |
| Package source: | FairMclus_2.2.1.tar.gz |
| Windows binaries: | r-devel: FairMclus_2.2.1.zip, r-release: FairMclus_2.2.1.zip, r-oldrel: FairMclus_2.2.1.zip |
| macOS binaries: | r-release (arm64): FairMclus_2.2.1.tgz, r-oldrel (arm64): FairMclus_2.2.1.tgz, r-release (x86_64): FairMclus_2.2.1.tgz, r-oldrel (x86_64): FairMclus_2.2.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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