What is the EM algorithm in Gaussian Mixture Models?
Updated May 15, 2026
Short answer
EM iteratively estimates parameters for mixture models.
Deep explanation
E-step assigns probabilities, M-step updates parameters.
Real-world example
Modeling customer purchase behavior distributions.
Common mistakes
- Assuming EM guarantees global optimum.
Follow-up questions
- What is latent variable?
- Why use GMM?