FairMclus (version 2.2.1)
Clustering for Data with Sensitive Attribute
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) ".