dbscan

DBSCAN - Density-Based Spatial Clustering of Applications with Noise

Description: DBSCAN groups together points that are close to each other based on distance and density, and identifies outliers as points that lie alone in low-density regions.

Key Points:

• Can find arbitrarily shaped clusters.
• Robust to noise and outliers.
• Requires tuning of the density parameters.

Applications: Geographic data analysis, fraud detection, biology.