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EM algorithm: how it works
7:53
YouTubeVictor Lavrenko
EM algorithm: how it works
Full lecture: http://bit.ly/EM-alg Mixture models are a probabilistically-sound way to do soft clustering. We assume our data is sampled from K different sources (probability distributions). The expectation maximisation (EM) algorithm allows us to discover the parameters of these distributions, and figure out which point comes from each source ...
515.7K viewsJan 19, 2014
Expectation–maximization algorithm Tutorial
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Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
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