1. Abbasi M, Bhaskara A, Venkatasubramanian S (2021) Fair clustering via equitable group representations. In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pp 504–514
2. Abraham SS, Padmanabhan D, Sundaram SS (2020) Fairness in clustering with multiple sensitive attributes. In: EDBT/ICDT 2020 joint conference, pp 287–298
3. Ahmadian S, Epasto A, Kumar R, Mahdian M (2019) Clustering without over-representation. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining, pp 267–275
4. Ahmadian S, Epasto A, Kumar R, Mahdian M (2020) Fair correlation clustering. In: Chiappa S, Calandra R (eds) Proceedings of the twenty third international conference on artificial intelligence and statistics, volume 108 of proceedings of machine learning research, pp 4195–4205
5. Anderson N, Bera SK, Das S, Liu Y (2020) Distributional individual fairness in clustering. arXiv:2006.12589