Lecture
This lecture covers the K-means method, focusing on minimizing intra-cluster variance using Lloyd's algorithm. It explains the step-by-step process of assigning observations to clusters and recalculating centroids. The application of K-means in color clustering for image segmentation is also discussed, illustrating how pixels are assigned to clusters based on RGB values.