Kernel learning approaches for summarising and combining posterior similarity matrices

Alessandra Cabassi, Sylvia Richardson, Paul D. W. Kirk

When using Markov chain Monte Carlo (MCMC) algorithms to perform inference for Bayesian clustering models, such as mixture models, the output is typically a sample of clusterings (…