Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
covariances[k] = weighted_sum /counts[k] # normalize by total sum of counts return covariances But how we will measure our mixture of Gaussian model. For this, we will calculate the log-likelihood of the Gaussian mixture. It Quantifies the probability of observing a given set of data under