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Bayesian Outlier Detection with Dirichlet Process MixturesThis is a discussion on Bayesian Outlier Detection with Dirichlet Process Mixtures within the Analytic News Feeds forums, part of the Analytics category; Matthew S. Shotwell*and Elizabeth H. Slate Abstract. We introduce a Bayesian inference mechanism for outlier detection*using the augmented Dirichlet process mixture. Outliers are detected by forming*a maximum a posteriori (MAP) ... |
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10th February 2012, 11:09 AM
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| Administrator |  Bayesian Outlier Detection with Dirichlet Process Mixtures Matthew S. Shotwell*and Elizabeth H. Slate Abstract. We introduce a Bayesian inference mechanism for outlier detection*using the augmented Dirichlet process mixture. Outliers are detected by forming*a maximum a posteriori (MAP) estimate of the data partition. Observations that*comprise small or singleton clusters in the estimated partition are considered outliers. We offer a novel interpretation of the Dirichlet process precision parameter,*and… More blog entries from AnalyticBridge... |
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