Machine Learning, Clustering, Python, Gaussian Mixture Model, Unsupervised Learning.
Expectation Maximization (EM) algorithm, which maximizes the likelihood of the observed data. EM is similar to K Means but assigns data points to clusters with soft probabilities, rather than a hard assignment. At a high level, GMM combines multiple Gaussian distributions to model the data. Instead