Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent

Discovering hierarchical regularities in data is a key problem in interacting with large datasets, modeling cognition, and encoding knowledge. A previous Bayesian solution---Kingman's coalescent---provides a convenient probabilistic model for data represented as a binary tree... (read more)

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