Gaussian Mixture Model EM Algorithm

The Gaussian Mixture Model EM Algorithm calculates three key parameters for Gaussian mixture distributions, which better approximate coefficient distributions than single Gaussian models. Implementation involves iterative expectation and maximization steps for parameter estimation.