方法对比

	调整兰德指数	轮廓系数
领域	模型评估	模型评估
方法族	MCDM	MCDM
起源年份	1985	1987
提出者	Lawrence Hubert, Phipps Arabie	Peter Rousseeuw
类型	External similarity metric	Cluster quality metric
开创性文献	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.
别名	ARI, adjusted Rand coefficient	silhouette coefficient, silhouette index
相关	5	5
摘要	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.