Fair Clustering: Notations and Algorithms

Explore a comprehensive lecture on fair clustering algorithms and their societal implications delivered by Prof. Shweta Jain from IIT Ropar. Dive into the world of unsupervised machine learning, specifically focusing on clustering techniques and their applications in criminal justice, resume processing, loan approvals, and recommender systems. Learn about the potential discriminatory effects of traditional clustering algorithms and discover how group fair clustering algorithms address these issues by ensuring equal representation of protected groups across clusters. Understand the relationships between various group fair clustering concepts, analyze existing algorithms' theoretical guarantees, time complexity, and reproducibility, and explore new directions and open problems in this field. Benefit from the expertise of Prof. Jain, an accomplished researcher in machine learning, game theory, and mechanism design, who brings her extensive academic experience from IIT Ropar, IIT Bhubaneshwar, and IISc Bangalore to this illuminating one-hour presentation.