Trajectory ML 6: Clusters, Communities, and Useful States
Compare geometric and graph partitions, then learn why a discovered cluster is a hypothesis about state.
Compare geometric and graph partitions, then learn why a discovered cluster is a hypothesis about state.
K-means is actually an extreme case of GMM, and GMM is the canonical application of the EM algorithm. How these three connect within a single framework, and how information geometry explains the relationship.