Deep fair clustering via maximizing and minimizing mutual information: Theory, algorithm and metric

P Zeng, Y Li, P Hu, D Peng, J Lv… - Proceedings of the …, 2023 - openaccess.thecvf.com
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(eg, gender, race, RNA sequencing technique) from dominating the clustering. Although a …
被引用次数：9 相关文章

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

P Zeng, Y Li, P Hu, D Peng, J Lv, X Peng - arXiv preprint arXiv:2209.12396, 2022 - arxiv.org
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(\textit {eg}, gender, race, RNA sequencing technique) from dominating the clustering …

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

P Zeng, Y Li, P Hu, D Peng, J Lv, X Peng - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(\textit {eg}, gender, race, RNA sequencing technique) from dominating the clustering …
[PDF] pengxi.me

[PDF][PDF] Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

P Zeng, Y Li, P Hu, D Peng, J Lv, X Peng - pengxi.me
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(eg, gender, race, RNA sequencing technique) from dominating the clustering. Although a …

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

P Zeng, Y Li, P Hu, D Peng, J Lv… - 2023 IEEE/CVF …, 2023 - computer.org
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(eg, gender, race, RNA sequencing technique) from dominating the clustering. Although a …

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

P Zeng, Y Li, P Hu, D Peng, J Lv… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes
(eg, gender, race, RNA sequencing technique) from dominating the clustering. Although a …