Share 'Bayesian Outlier Detection with Dirichlet Process Mixtures'
Matthew S. Shotwell and Elizabeth H. Slate
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 interpretati…
You can share this blog post in two ways…
Share this link:
Send it with your computer's email program: Email this