Back to metrics
ASW
🎯 Clustering & Cell Type DiscoverySilhouette Score (Average)
Direction
Higher is Better
Value Range
[-1, 1]
Category
Clustering & Cell Type Discovery
Supervised metrics comparing predicted clusters to ground truth labels
Description
Average silhouette coefficient measuring cluster cohesion and separation
Mathematical Formula
ASW = (1/n) * Σ(b_i - a_i) / max(a_i, b_i)Interpretation Guide
Range [-1, 1]. 1 = well-separated clusters, 0 = overlapping clusters, -1 = incorrect assignments. Measures geometric cluster quality.
Related Metrics
Other metrics in the Clustering & Cell Type Discovery category