What is density-based clustering intuition?
Updated May 15, 2026
Short answer
It groups points based on dense regions.
Deep explanation
Clusters form where points are densely packed, separated by sparse regions.
Real-world example
Geospatial hotspot detection.
Common mistakes
- Ignoring parameter sensitivity.
Follow-up questions
- Which algorithm uses it?
- Why useful?