K-means Clustering: Initialization and Image Segmentation

This lecture covers the k-means clustering method, focusing on the importance of initialization and its application in image segmentation. It discusses the challenges of the k-means algorithm, its speed, and simplicity, as well as the use of different color spaces for image segmentation.