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FITclust  

Fair Interpolated Transport for Group-Fair Clustering
View on CRAN: Click here


Download and install FITclust package within the R console
Install from CRAN:
install.packages("FITclust")

Install from Github:
library("remotes")
install_github("cran/FITclust")

Install by package version:
library("remotes")
install_version("FITclust", "1.0.0")



Attach the package and use:
library("FITclust")
Maintained by
Jesse S. Ghashti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
Implementation of Fair Interpolated Transport (FIT), an algorithm-agnostic preprocessing framework for group-fair clustering. Group-conditional empirical distributions are moved along Wasserstein-2 geodesics toward a shared barycenter at a tunable transport intensity, and the smallest intensity meeting a soft-fairness tolerance is selected. Three soft clustering families are provided, centroid based, graph based, and model based.
How to cite:
Jesse S. Ghashti (2026). FITclust: Fair Interpolated Transport for Group-Fair Clustering. R package version 1.0.0, https://cran.r-project.org/web/packages/FITclust. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for FITclust
Functions, R codes and Examples using the FITclust R package
Full FITclust package functions and examples
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