Latent Tree Learning

This lecture covers the concept of latent tree learning, focusing on properties of nodes, sibling relationships, and distance calculations. It explains the algorithm for learning the latent tree structure and the process of defining partitions based on observed variables. The instructor demonstrates the use of sibling grouping and updates in the active set to identify parent-child relationships and siblings. Various examples are provided to illustrate the computation and grouping techniques in latent tree learning.