Võrdle meetodeid

	Reguleeritud Randi indeks	Silueti koefitsient
Valdkond	Mudelite hindamine	Mudelite hindamine
Perekond	MCDM	MCDM
Tekkeaasta	1985	1987
Looja	Lawrence Hubert, Phipps Arabie	Peter Rousseeuw
Tüüp	External similarity metric	Cluster quality metric
Algallikas	Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218.	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.
Rööpnimetused	ARI, adjusted Rand coefficient	silhouette coefficient, silhouette index
Seotud	5	5
Kokkuvõte	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.	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.