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This lecture covers advanced clustering techniques, focusing on Density-based Clustering (DBSCAN). The instructor explains the concept of density-based clustering, properties of DBSCAN, and the DBSCAN algorithm step by step. Topics include density-reachability, core points, border points, outliers, cluster construction, and algorithm complexity.