# Chinese restaurant franchise

## Summary

The Chinese Restaurant Franchise (CRF) is the predictive process for a hierarchical partitioning (clustering) of grouped data -- it is a generalization of the Chinese Restaurant Process. The CRF can be used to specify a nonparametric distribution on a mixture of mixtures: each grouping of data is a draw from a mixture model, where the mixture components are shared among different groups.

## Context

This concept has the prerequisites:

- latent Dirichlet allocation (An important motivator for the CRF is Bayesian topic models.)
- CRP clustering (CRF topic models can be seen as a hierarchical extension of CRP clustering.)

## 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-

→ Princeton BNP Class: Lecture Notes 7 (2007)

→ Bayesian Nonparametrics (2011)

## See also

- The CRF can be interpreted as a hierarchical Dirichlet process .