Expectation Maximization (EM)

When to use:

• Data is only partially observable
• Unsupervised clustering (target value unobservable)
• Supervised learning (some instance attributes unobservable)

Some uses:

• Train Bayesian Belief Networks
• Unsupervised clustering (AUTOCLASS)
• Learning Hidden Markov Models