Review Note

Last Update: 04/30/2024 09:10 AM

Current Deck: Data Science Interviews::clustering

Published

Fields:

Front
How does DBSCAN clustering work?
Back
Finds areas of high density (many neighbors)

Grows clusters of core points having at least m neighbors within distance eps
Plus border points within eps
Other points are outliers (noise)





Tags:

medium-level

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