পদ্ধতির তুলনা করুন

	অ্যাডজাস্টেড র‍্যান্ড ইনডেক্স	সিলুয়েট স্কোর
ক্ষেত্র	মডেল মূল্যায়ন	মডেল মূল্যায়ন
পরিবার	MCDM	MCDM
উদ্ভবের বছর	1985	1987
প্রবর্তক	Lawrence Hubert, Phipps Arabie	Peter Rousseeuw
ধরন	External similarity metric	Cluster quality metric
মৌলিক উৎস	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.
অপর নাম	ARI, adjusted Rand coefficient	silhouette coefficient, silhouette index
সম্পর্কিত	5	5
সারসংক্ষেপ	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.