ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures

no code implementations • 8 Apr 2013 • Dan Lovell, Jonathan Malmaud, Ryan P. Adams, Vikash K. Mansinghka

Applied to mixture modeling, our approach enables the Dirichlet process to simultaneously learn clusters that describe the data and superclusters that define the granularity of parallelization.

Density Estimation Time Series +1