Lecture 21: Using Graphs to Model Problems, Part 1

This lecture begins by finishing up k-means clustering. It then moves on to introduce the notion of modeling things using graphs (sets of nodes and edges that link them). Topics covered: Pseudocode, graphs, nodes, edges, adjacency matrix, adjacency list.