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FairMclus  

Clustering for Data with Sensitive Attribute
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
[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
Previous versions and publish date:
No previous versions
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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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