Bayesian Agglomerative Clustering with Coalescents - Statistics > Machine LearningReport as inadecuate




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Abstract: We introduce a new Bayesian model for hierarchical clustering based on aprior over trees called Kingman-s coalescent. We develop novel greedy andsequential Monte Carlo inferences which operate in a bottom-up agglomerativefashion. We show experimentally the superiority of our algorithms over others,and demonstrate our approach in document clustering and phylolinguistics.



Author: Yee Whye Teh, Hal Daumé III, Daniel Roy

Source: https://arxiv.org/







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