Density-based clustering is a statistical learning technique that aims at finding high density regions in the data separated by low density regions, finding applications in virtually all fields of knowledge. Hierarchical density-based clustering goes one step beyond and finds a hierarchy of density-based clusters at different density levels according to a user-defined density smoothing parameter. […]
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