juniorUnsupervised Learning
What is DBSCAN?
Updated May 15, 2026
Short answer
DBSCAN is a density-based clustering algorithm.
Deep explanation
It groups points based on density connectivity and marks outliers as noise.
Real-world example
Detecting spatial clusters in geolocation data.
Common mistakes
- Poor choice of epsilon parameter.
Follow-up questions
- What is epsilon?
- How does it handle outliers?