Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
most common approach to solve this problem in ML is gradient descent by minimizing the log-likelihood function which is –log (p(X |θ)) as loss function (remember we actually maximizing the probability function at parameter is a simple hack for numerical stability since it changes the product into