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Lecture
K-means Clustering: Initialization and Image Segmentation
Description
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.
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