Bandingkan kaedah

	Indeks Davies-Bouldin	Skor Siluet
Bidang	Penilaian Model	Penilaian Model
Keluarga	MCDM	MCDM
Tahun asal	1979	1987
Pengasas	David L. Davies, Donald W. Bouldin	Peter Rousseeuw
Jenis	Cluster quality metric	Cluster quality metric
Sumber perintis	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.
Alias	DBI, Davies Bouldin index	silhouette coefficient, silhouette index
Berkaitan	5	5
Ringkasan	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.