Lecture

Advanced Clustering: DBSCAN

In course

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Description

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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_sycmir16

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Ontological neighbourhood

Information engineering

Machine learning: Unsupervised learning

Theoretical computer science

Theory of computation: Computational complexity theory

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