Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
‘t’ that determines the assignment of observations to mixture components we can define a joint distribution over observed and latent variables p(x, t| θ) in terms of a conditional distribution p(x| t, θ) and a prior distribution p( t | θ) Where The values of t are one-hot encoded. For example, t2=1