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Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C

Jordan JORDAN EECS BERKELEY EDU Departments of EECS and Statistics University of California Berkeley CA Abstract Bayesian models offer great exibility for clus tering applicationsBayesian nonparametrics can be used for modeling innite mixtures and h

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Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C




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Presentation on theme: "Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C"— Presentation transcript:

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