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ASW

C Clustering

Silhouette Score (Average)

Direction

Higher is Better

Value Range

[-1, 1]

Category

Clustering

Agreement with reference 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 category

NMI

↑

Measures the mutual information between predicted clusters and true labels, normalized by the entropy of the two distributions

ARI

↑

Similarity between predicted and true clusters adjusted for chance

DAV

↓

Average similarity between each cluster and its most similar neighboring cluster