Expectation Maximization

Presentation Summary

In these slides, I present:

• Expectation Maximization algorithm using Gaussian Mixture Models

Examples

• em.py
• test_em.py
• test_em1.py
• test_em2.py
• test_em3.py

References

• Andrew Ng’s Stanford CS 229 Lectures
• Padhraic Smyth’s UCI CS 274 Lecture notes

All Fitting

• by Ryan Levy · RANSAC
• by Eli Chertkov · Expectation Maximization