Expectation Maximization

Implemented k-means clustering to segment a color image. Built a Gaussian mixture model to be trained with expectation-maximization. Implemented and test a new metric called the Bayesian information criterion (BIC), which guarantees a more robust image segmentation and penalizes models based on the number of parameters they us.