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fair-clustering

Here are 3 public repositories matching this topic...

algo-hhu / fair-kmeans

Fair K-Means produces a fair clustering assignment according to the fairness definition of Chierichetti et al. Each point has a binary color, and the goal is to assign the points to clusters such that the number of points with different colors in each cluster is the same and the cost of the clusters is minimized.

clustering kmeans k-means fairness k-means-clustering kmeans-plus-plus fair-clustering

Updated Sep 2, 2024
C++

pandorica-opens / Fair-Clustering

major ideas of the session "Fair Clustering" from the NeurIPS 2019 conference

machine-learning clustering fairness fair-clustering fair-ml

Updated Feb 21, 2021
Jupyter Notebook

Ralyhu / globalCC

Code and data for the paper "Correlation Clustering with Global Weight Bounds", ECML-PKDD 2021

clustering fairness correlation-clustering fairness-ai fairness-ml fair-clustering

Updated Nov 6, 2022
Python

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