Сравнение методов

	Скорректированный индекс Рэнда	Коэффициент силуэта
Область	Оценка моделей	Оценка моделей
Семейство	MCDM	MCDM
Год появления	1985	1987
Автор метода	Lawrence Hubert, Phipps Arabie	Peter Rousseeuw
Тип	External similarity metric	Cluster quality metric
Основополагающий источник	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.
Другие названия	ARI, adjusted Rand coefficient	silhouette coefficient, silhouette index
Связанные	5	5
Сводка	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.