CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis

2 code implementations • 19 Apr 2022 • Or Dinari, Raz Zamir, John W. Fisher III, Oren Freifeld

While Chang and Fisher III's implementation (written in MATLAB/C++) used only CPU and was designed for a single multi-core machine, the packages we proposed here distribute the computations efficiently across either multiple multi-core machines or across mutiple GPU streams.

Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models -- and a Deep-learning Solution

no code implementations • 25 Mar 2022 • Vlad Winter, Or Dinari, Oren Freifeld

We show that the random initialization is often problematic and hurts the otherwise-effective sampler.

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data

2 code implementations • 27 Feb 2022 • Or Dinari, Oren Freifeld

Practical tools for clustering streaming data must be fast enough to handle the arrival rate of the observations.

Clustering