I am looking for a good tutorial on clustering data in

`R`

using hierarchical dirichlet process (HDP) (one of the recent and popular nonparametric Bayesian methods).There is

`DPpackage`

(IMHO, the most comprehensive of all the available ones) in`R`

for nonparametric Bayesian analysis. But I am unable to understand the examples provided in`R News`

or in the package reference manual well enough to code HDP.Any help or pointer is appreciated.

A C++ implementation of HDP for topic modeling is available here (please look at the bottom for C++ code)

**Answer**

Here are some online ressources I found interesting without going into detail (and I’m not a specialist of this topic):

- Hierarchical Dirichlet Processes, by Teh et al. (2005)
- Dirichlet Processes A gentle tutorial, by El-Arini (2008)
- Bayesian Nonparametrics, by Rosasco (2010)
- Non-parametric Bayesian Methods, by Ghahramani (2005)

The definitive reference seems to be

N. Hjort, C. Holmes, P. Müller, and S.

Walker, editors.Bayesian. Number 28 in

Nonparametrics

Cambridge Series in Statistical and

Probabilistic Mathematics. Cambridge

University Press, 2010.

About R, there seems to be some other packages worth to explore if the DPpackage does not suit your needs, e.g. dpmixsim, BHC, or mbsc found on Rseek.org.

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