AI engineering glossary · Classical ML algorithms
What is silhouette score?
Silhouette score: A measure of clustering quality for each point: (b - a) / max(a, b), where a is the average distance to points in its own cluster and b the average distance to the nearest other cluster. Values near 1 mean well separated, near 0 overlapping, negative misassigned.
Silhouette score: an example
A point with a=2 and b=6 has silhouette (6-2)/6, about 0.67.
Related terms
More Classical ML algorithms terms
- Simple linear regression
- Soft margin
- Softmax regression
- Spectral clustering
- Stacking
- Support
- Support vector
- Support vector machine
Where you learn it
Silhouette score is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.