Gaussian Mixture Model

Concept

A probabilistic model that assumes data is composed of a finite number of Gaussian distributions with unknown parameters.

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Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)

Stanford Online

A probabilistic model that assumes data is composed of a finite number of Gaussian distributions with unknown parameters.