قارن الطرق

	مؤشر ديفيز-بولدن	مؤشر راند المعدل
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	1979	1985
صاحب الطريقة	David L. Davies, Donald W. Bouldin	Lawrence Hubert, Phipps Arabie
النوع	Cluster quality metric	External similarity metric
المصدر التأسيسي	Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227.	Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218.
الأسماء البديلة	DBI, Davies Bouldin index	ARI, adjusted Rand coefficient
ذات صلة	5	5
الملخص	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.	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.