So sánh phương pháp

	Chỉ số Rand Điều chỉnh	Thông tin tương hỗ chuẩn hóa
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	1985	2005
Người khởi xướng	Lawrence Hubert, Phipps Arabie	Danon, Diaz-Guilera, Duch, Arenas
Loại	External similarity metric	Information-theoretic metric
Công trình gốc	Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218.	Danon, L., Diaz-Guilera, A., Duch, J., & Arenas, A. (2005). Comparing community structure identification. Journal of Statistical Mechanics: Theory and Experiment, 2005(09), P09008.
Tên gọi khác	ARI, adjusted Rand coefficient	NMI, mutual information, information criterion
Liên quan	5	5
Tóm tắt	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.	Normalized Mutual Information (NMI), popularized by Danon et al. in 2005, is an external clustering evaluation metric based on information theory. It measures the amount of information shared between a predicted clustering and ground truth labels, normalized to a scale between 0 and 1. A value of 1 indicates perfect agreement, while 0 indicates independence.