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.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s