mixture of Gaussians models

(50 minutes to learn)


Mixture of Gaussians is a probabilistic model commonly used for clustering: partitioning a set of data points into a set of clusters, where data points within a cluster are similar to one another.


This concept has the prerequisites:

Core resources (read/watch one of the following)


Supplemental resources (the following are optional, but you may find them useful)


Bayesian Reasoning and Machine Learning

See also