Bandingkan kaedah

	Skor Siluet	Indeks Rand Terlaras
Bidang	Penilaian Model	Penilaian Model
Keluarga	MCDM	MCDM
Tahun asal	1987	1985
Pengasas	Peter Rousseeuw	Lawrence Hubert, Phipps Arabie
Jenis	Cluster quality metric	External similarity metric
Sumber perintis	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.
Alias	silhouette coefficient, silhouette index	ARI, adjusted Rand coefficient
Berkaitan	5	5
Ringkasan	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.