Overview
- Only needs $n$ (min samples) parameter
- Handles varying densities
- Slower than k-means but more versatile
When to Use
- Recommended as first clustering approach
- Best for unknown number of clusters with varying densities
Hierarchical density-based clustering that handles varying densities