Silhouette

The silhouette score is a metric used to evaluate how well a dataset has been grouped into clusters. It measures how similar each point is to others in its own group compared to points in other groups. A high silhouette score indicates that data points are well matched within their own cluster and poorly matched to neighboring clusters, meaning the clustering is clear and effective. Scores range from -1 to 1, where values close to 1 suggest strong, distinct clusters, while values near 0 or negative indicate overlapping or poorly defined groups.