Relaxed BHC is a small-variance limit of Bayesian hierarchical clustering, and can cluster exponential family distributed datasets without knowing the number of clusters. It uses a nearest-neighbor chain algorithm to efficiently build binary trees representing the hierarchical cluster structure of datasets.
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