Package: FITclust 1.0.0
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.
Authors:
FITclust_1.0.0.tar.gz
FITclust_1.0.0.zip(r-4.7-any)FITclust_1.0.0.zip(r-4.6-any)FITclust_1.0.0.zip(r-4.5-any)
FITclust_1.0.0.tgz(r-4.6-any)FITclust_1.0.0.tgz(r-4.5-any)
FITclust_1.0.0.tar.gz(r-4.7-any)FITclust_1.0.0.tar.gz(r-4.6-any)
FITclust_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FITclust/json (API)
| # Install 'FITclust' in R: |
| install.packages('FITclust', repos = c('https://ghashti-j.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ghashti-j/fitclust/issues
Last updated from:0db3cdd8cb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 172 | ||
| source / vignettes | OK | 225 | ||
| linux-release | OK | 162 | ||
| macos-release | OK | 186 | ||
| macos-oldrel | OK | 156 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 133 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 124 |
Exports:buildTransportcomputeTransportMapsdistMatrixemGMMfcmfitSKMfitSMMfitSSChardViolationprocrustesAlignresolveAlphasoftViolationspectralEmbedvalidateGridwassersteinBarycenter
Dependencies:data.tablelatticeMatrixmvtnormRcppRcppEigentransport
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build a Transport Interpolation | buildTransport |
| Transport Maps from Groups to the Barycenter | computeTransportMaps |
| Squared Euclidean Distance Matrix | distMatrix |
| Gaussian Mixture Model by Expectation Maximization | emGMM |
| Fuzzy c-means Clustering | fcm |
| Fair Interpolated Transport, Centroid Variant | fitSKM |
| Fair Interpolated Transport, Model Variant | fitSMM |
| Fair Interpolated Transport, Graph Variant | fitSSC |
| Hard Group-Fairness Violation | hardViolation |
| Procrustes Alignment of Spectral Embeddings | procrustesAlign |
| Resolve Barycenter Weights | resolveAlpha |
| Soft Group-Fairness Violation | softViolation |
| Self-Tuning Spectral Embedding | spectralEmbed |
| Validate a Transport-Intensity Grid | validateGrid |
| Wasserstein-2 Barycenter on a Fixed Support | wassersteinBarycenter |