CRP clustering

Summary

The predictive rule for Chinese Restaurant Process (CRP) can be used to define an "infinite-capacity" prior distribution on the clusters in a clustering model. The most common clustering model that uses the CRP is an unbounded analogue to a Gaussian mixture model, where the "table assignments" from the CRP determine the mixture component assignments for each data point.

Context

This concept has the prerequisites:

Core resources (we're sorry, we haven't finished tracking down resources for this concept yet)

Supplemental resources (the following are optional, but you may find them useful)

-Free-

Bayesian nonparametric lecture notes (COS 597C)
Authors: Peter Frazier,Indraneel Mukherjee

See also