AI, Machine Learning, Unsupervised Learning.
Applications: Image segmentation and object tracking in video. 5. Gaussian mixture model (GMM) The algorithm models the data as a mixture of several Gaussian distributions. It uses the expectation-maximization (EM) algorithm to iteratively estimate parameters such as mean, covariance, and weights