Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Silueti koefitsient× | Reguleeritud Randi indeks× | |
|---|---|---|
| Valdkond | Mudelite hindamine | Mudelite hindamine |
| Perekond | MCDM | MCDM |
| Tekkeaasta≠ | 1987 | 1985 |
| Looja≠ | Peter Rousseeuw | Lawrence Hubert, Phipps Arabie |
| Tüüp≠ | Cluster quality metric | External similarity metric |
| Algallikas≠ | 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 ↗ |
| Rööpnimetused | silhouette coefficient, silhouette index | ARI, adjusted Rand coefficient |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | 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. |
| ScholarGateAndmestik ↗ |
|
|