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FairMclus
View on CRAN: Click
here
Download and install FairMclus package within the R console
Install from CRAN:
install.packages("FairMclus")
Install from Github:
library("remotes")
install_github("cran/FairMclus") Install by package version:
library("remotes")
install_version("FairMclus", "2.2.1") Attach the package and use:
library("FairMclus")
Maintained by
Carlos Santos-Mangudo
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2021-11-19
Description:
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) ".
How to cite:
Carlos Santos-Mangudo (2021). FairMclus: Clustering for Data with Sensitive Attribute. R package version 2.2.1, https://cran.r-project.org/web/packages/FairMclus. Accessed 05 Aug. 2026.
Previous versions and publish date:
2.2.1 (2021-11-19 08:30), (2026-07-09 08:04)
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Complete documentation for FairMclus
Functions, R codes and Examples using
the FairMclus R package
Some associated functions: FairMclus .
Some associated R codes: FairMclus.R . Full FairMclus package functions and examples
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