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FairMclus: 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) <doi:10.28945/4643>".
Getting started
Browse package contents
Package details |
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| Author | Carlos Santos-Mangudo [aut, cre] |
| Maintainer | Carlos Santos-Mangudo <carlossantos.csm@gmail.com> |
| License | GPL (>= 2) |
| Version | 2.2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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