Biclustering: Networks MA448

This lecture by the instructor covers the concept of biclustering, which extends network analysis to include two types of nodes. It explores applications in various fields like online retail and bioinformatics, emphasizing the identification of coherent behavior patterns in data matrices. The lecture delves into the difference between clustering and biclustering, highlighting the simultaneous clustering of rows and columns. It discusses various types of biclusters, such as those with constant values, coherent values, and coherent evolutions. The presentation also touches on the computational methods and algorithms used to identify and evaluate biclusters in data matrices.