Infinite Mixture Models with Nonparametric Bayes and the Dirichlet Process
Edwin Chen
MARCH 19, 2012
Imagine you’re a budding chef. A data-curious one, of course, so you start by taking a set of foods (pizza, salad, spaghetti, etc.) and ask 10 friends how much of each they ate in the past day. Your goal: to find natural groups of foodies, so that you can better cater to each cluster’s tastes. For example, your fratboy friends might love wings and beer , your anime friends might love soba and sushi, your hipster friends probably dig tofu, and so on.
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