Clustering for Data with Sensitive Attribute

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) ".


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install.packages("FairMclus")

2.2.1 by Carlos Santos-Mangudo, 16 days ago


Browse source code at https://github.com/cran/FairMclus


Authors: Carlos Santos-Mangudo [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


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


See at CRAN