방법 비교

	Davies-Bouldin Index	Silhouette Score
분야	모델 평가	모델 평가
계열	MCDM	MCDM
기원 연도	1979	1987
창시자	David L. Davies, Donald W. Bouldin	Peter Rousseeuw
유형	Cluster quality metric	Cluster quality metric
원전	Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227.	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.
별칭	DBI, Davies Bouldin index	silhouette coefficient, silhouette index
관련	5	5
요약	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 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.