Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
latent variables. Let simplify it a little bit. Given N observation and a probabilistic model p(X |θ) Our goal is to find the value of θ which maximizes p(X |θ this is called maximum likelihood estimation. IF the model is simple Gaussian distribution then parameter be like where If this is the case