So sánh phương pháp

	Chỉ số Davies-Bouldin	Chỉ số Rand Điều chỉnh
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	1979	1985
Người khởi xướng	David L. Davies, Donald W. Bouldin	Lawrence Hubert, Phipps Arabie
Loại	Cluster quality metric	External similarity metric
Công trình gốc	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.
Tên gọi khác	DBI, Davies Bouldin index	ARI, adjusted Rand coefficient
Liên quan	5	5
Tóm tắt	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.