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A Mcmc Approach To Hierarchical Mixture Modelling

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12, (2000): 680-686

Cited: 72|Views24
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There are many hierarchical clustering algorithms available, but these lack a firm statistical basis. Here we set up a hierarchical probabilistic mixture model, where data is generated in a hierarchical tree-structured manner. Markov chain Monte Carlo (MCMC) methods are demonstrated which can be used to sample from the posterior distribut...More

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