قارن الطرق

	مؤشر راند المعدل	مؤشر ديفيز-بولدن
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	1985	1979
صاحب الطريقة	Lawrence Hubert, Phipps Arabie	David L. Davies, Donald W. Bouldin
النوع	External similarity metric	Cluster quality metric
المصدر التأسيسي	Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218.	Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227.
الأسماء البديلة	ARI, adjusted Rand coefficient	DBI, Davies Bouldin index
ذات صلة	5	5
الملخص	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 Davies-Bouldin Index, introduced by Davies and Bouldin in 1979, is a metric for evaluating clustering quality based on the average similarity between each cluster and its most similar neighboring cluster. Lower values indicate better clustering, with a minimum of 0 representing perfectly separated, non-overlapping clusters.