Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Silhouettescore× | Justerad Rand-index× | |
|---|---|---|
| Ämnesområde | Modellutvärdering | Modellutvärdering |
| Familj | MCDM | MCDM |
| Ursprungsår≠ | 1987 | 1985 |
| Upphovsperson≠ | Peter Rousseeuw | Lawrence Hubert, Phipps Arabie |
| Typ≠ | Cluster quality metric | External similarity metric |
| Ursprungskälla≠ | 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 ↗ | Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218. DOI ↗ |
| Alias | silhouette coefficient, silhouette index | ARI, adjusted Rand coefficient |
| Närliggande | 5 | 5 |
| Sammanfattning≠ | 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. | The Adjusted Rand Index (ARI), developed by Hubert and Arabie in 1985, is an external clustering evaluation metric that measures the agreement between a predicted clustering and a ground truth labeling. It ranges from -1 to 1, where 1 indicates perfect agreement, 0 indicates random clustering, and negative values indicate performance worse than random chance. |
| ScholarGateDatamängd ↗ |
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