MCDMClustering Validation

Silhouette Score

The Silhouette Coefficient, introduced by Peter Rousseeuw in 1987, is a metric that measures how similar an object is to its own cluster compared to other clusters. It ranges from -1 to 1, where values close to 1 indicate well-separated and cohesive clusters, values near 0 suggest overlapping clusters, and negative values indicate misclustered points.

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Sources

  1. Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65. DOI: 10.1016/0377-0427(87)90125-7

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Referenced by

ScholarGateSilhouette Score (Silhouette Coefficient). Retrieved 2026-06-04 from https://scholargate.app/en/model-evaluation/silhouette-score