Difference between DBSCAN and HDBSCAN

Difference between DBSCAN and [HDBSCAN

• Simply put, HDBSCAN is a system that automatically adjusts the value of DBSCAN eps
• Experiment with real data to observe behavior

https://pberba.github.io/stats/2020/01/17/hdbscan/ Illustration of eom(Excess of Mass), the default cluster selection criteria for HDBSCAN

2024-11-14

• lower left
  • HDBSCAN recognizes the lower left “clearly separated cluster” as a whole cluster, regardless of the parameters.
  • DBSCAN ignores the end part as noise, gradually decreasing in size as the parameters change, and finally judging all of it as noise.
• right
  • There’s not much difference in behavior, but HDBSCAN’s are more likely to judge the surrounding noise as part of the cluster and get involved.

DBSCAN — scikit-learn 1.5.2 documentation DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

HDBSCAN — scikit-learn 1.5.2 documentation https://note.com/navy_azalea/n/na859d7ab6ab3

• Mutual reach

SpectralClustering — scikit-learn 1.5.2 documentation

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