Biclustering & latent variables: statistical analysis of network data

This lecture covers biclustering techniques, including identifying biclusters with constant values, coherent values, and coherent evolutions. It also delves into latent variables in network data analysis, explaining their role in modeling and introducing the concept of Bernoulli random variables.