Σύγκριση μεθόδων

	Δείκτης Davies-Bouldin	Δείκτης Calinski-Harabasz
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	1979	1974
Δημιουργός	David L. Davies, Donald W. Bouldin	Tadeusz Calinski, Jerzy Harabasz
Τύπος	Cluster quality metric	Cluster quality metric
Θεμελιώδης πηγή	Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227.	Calinski, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3(1), 1-27.
Εναλλακτικές ονομασίες	DBI, Davies Bouldin index	variance ratio criterion, pseudo F-statistic, CH index
Συναφείς	5	5
Σύνοψη	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 Calinski-Harabasz Index, also called the Variance Ratio Criterion, was introduced by Calinski and Harabasz in 1974. It is a metric that measures the ratio of between-cluster variance to within-cluster variance, adjusted for the number of clusters and data points. Higher values indicate better-separated, more compact clusters.