Density-based clustering algorithms seek partitions with high density areas of points (clusters, not necessarily globular) separated by low density areas, possibly containing noise objects.

He uses density-based clustering algorithms like DBSCAN to find clusters of high-density data points within noisy datasets. His work is not just about processing data; it’s about uncovering the ...