পদ্ধতির তুলনা করুন

	সিলুয়েট স্কোর	অ্যাডজাস্টেড র‍্যান্ড ইনডেক্স
ক্ষেত্র	মডেল মূল্যায়ন	মডেল মূল্যায়ন
পরিবার	MCDM	MCDM
উদ্ভবের বছর	1987	1985
প্রবর্তক	Peter Rousseeuw	Lawrence Hubert, Phipps Arabie
ধরন	Cluster quality metric	External similarity metric
মৌলিক উৎস	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.	Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218.
অপর নাম	silhouette coefficient, silhouette index	ARI, adjusted Rand coefficient
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	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.