CRP clustering


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.


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)


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

See also