Definition:
Cluster density refers to how tightly packed the members of a cluster are. Often used to interpret the internal coherence of a cluster.
Metrics:
- Average intra-cluster distance
- DBSCAN’s core point density
- Silhouette score (as indirect proxy) Silhouette Analysis
Exploratory Questions:
- How does density interact with distance-based clustering?
- How do you define density in non-Euclidean spaces?
- What assumptions does DBSCAN make about density?