Gaussian Mixture Model (GMM)
GMMs are used in clustering tasks, grouping data points into clusters based on underlying Gaussian distributions.
A Gaussian Mixture Model (GMM) is a probabilistic model that assumes data points are generated from a mixture of several Gaussian distributions. It is widely used in clustering and density estimation tasks, where it helps group data points into subpopulations or clusters based on their probability distribution.