Topic: "fair-clustering"
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.
Language: C++ - Size: 221 KB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Ralyhu/globalCC
Code and data for the paper "Correlation Clustering with Global Weight Bounds", ECML-PKDD 2021
Language: Python - Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
pandorica-opens/Fair-Clustering
major ideas of the session "Fair Clustering" from the NeurIPS 2019 conference
Language: Jupyter Notebook - Size: 223 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
