[Mixture Models] EM Algorithm
[Mixture Models] EM Algorithm

Maximizing likelihood could not be used to the Gaussian mixture model directly, for its severe defects that we have come across at 'Maximum Likelihood of Gaussian Mixtures'. By the inspiration of K-means, a two-step algorithm was developed.

[Mixture Models] An Introduction to Mixture Models
[Mixture Models] An Introduction to Mixture Models

We have discussed many machine learning algorithms, including linear regression, linear classification, neural network models and e.t.c, till now. However, most of them are supervised learning, which means a teacher is leading the models to bias to a certain task