Mini toolsDefinition
A metric that measures how similar an object is to its own cluster compared to other clusters.
Detailed Explanation
The silhouette score ranges from -1 to 1, where a high value indicates the object is well matched to its own cluster and poorly matched to neighboring clusters. It combines both cohesion and separation measures, calculated for each sample and averaged.
Use Cases
Applied in customer segmentation, document clustering, and image segmentation to validate clustering quality.
