Expectation-Maximization Algorithm for Bernoulli Mixture Models (Tutorial)
Even though the title is quite a mouthful, this post is about two really cool ideas: A solution to the “chicken-and-egg” problem (known as the Expectation-Maximization method, described by A. Dempster, N. Laird and D. Rubin in 1977), and An application of this solution to automatic image clustering by similarity, using Bernoulli Mixture Models. For the curious, an implementation of the automatic image clustering is shown in the video below. The source code (C#, Windows x86/x64) is also […]
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