Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
variance of Gaussian) we can calculate the responsibilities and if we know the responsibility then we can calculate the parameters. That’s where EM algorithm comes where it starts by placing ‘k’ Gaussians randomly (generate random mean and variance for the Gaussians) into the picture where it