Nice utility of non-parametric Bayesian clustering for arranging Mc-Donalds food items

The author has given a very neat review of different process for doing non-parametric bayesian clustering. I am reading on this for the first time and the take home message is that these models have the advantage of increasing the number of clusters as we get more data-points. Do have a look the following clusters discovered by the algorithm from the list of food items (features as nutritional content) from Mc-Donalds.  

http://blog.echen.me/2012/03/20/infinite-mixture-models-with-nonparametric-bayes-and-the-dirichlet-process/

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