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Learning to Generate Fair Clusters from Demonstrations
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Fair clustering is the process of grouping similar entities together, while satisfying a mathematically well-defined fairness metric as a constraint. Due to the practical challenge…
Balancing the Tradeoff Between Clustering Value and Interpretability
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Graph clustering groups entities -- the vertices of a graph -- based on their similarity, typically using a complex distance function over a large number of features. Successful in…
Lexicographically Ordered Multi-Objective Clustering
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
We introduce a rich model for multi-objective clustering with lexicographic ordering over objectives and a slack. The slack denotes the allowed multiplicative deviation from the op…