Fairness through Antidote Data

Anshuman discusses how introducing antidote data points can enhance fairness in clustering algorithms, creating fair outputs without the need for fair decomposition. By strategically adding dummy points to the original dataset, the algorithm adjusts centroids to achieve fairness, offering a novel approach to fair clustering.