FITclust: Fair Interpolated Transport for Group-Fair Clustering
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.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, transport, Matrix, mvtnorm |
| Suggests: |
ggplot2, knitr, rmarkdown, devtools, spelling |
| Published: |
2026-08-21 |
| DOI: |
10.32614/CRAN.package.FITclust (may not be active yet) |
| Author: |
Jesse S. Ghashti [aut, cre],
Warren Hare [aut],
John R.J. Thompson [aut] |
| Maintainer: |
Jesse S. Ghashti <jesse.ghashti at ubc.ca> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
FITclust citation info |
| CRAN checks: |
FITclust results |
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