Fair Bayesian Clustering (FBC) enforces group fairness through a matching prior and infers the cluster count within a mixture model.
Mixture models with a prior on the number of components.Journal of the American Statistical Association, 113(521):340–356, 2018
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Fair Bayesian Model-Based Clustering
Fair Bayesian Clustering (FBC) enforces group fairness through a matching prior and infers the cluster count within a mixture model.