35. Finding Clusters in Graphs

MIT Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: YouTube Playlist: The topic of this lecture is clustering for graphs, meaning finding sets of ’related’ vertices in graphs. The challenge is finding good algorithms to optimize cluster quality. Professor Strang reviews some possibilities. License: Creative Commons BY-NC-SA More information at More courses at