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11

NIPS
2007

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Bayesian Agglomerative Clustering with Coalescents

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Bayesian Agglomerative Clustering with Coalescents

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

Yee Whye Teh, Hal Daumé III, Daniel M. Roy

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Hierarchical Clustering | Information Technology | Monte Carlo Inferences | NIPS 2007 | Trees Called Kingman |

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2007
Where	NIPS
Authors	Yee Whye Teh, Hal Daumé III, Daniel M. Roy

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