Σύγκριση μεθόδων

	Δείκτης Calinski-Harabasz	Συντελεστής Σιλουέτας
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	1974	1987
Δημιουργός	Tadeusz Calinski, Jerzy Harabasz	Peter Rousseeuw
Τύπος	Cluster quality metric	Cluster quality metric
Θεμελιώδης πηγή	Calinski, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3(1), 1-27.	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.
Εναλλακτικές ονομασίες	variance ratio criterion, pseudo F-statistic, CH index	silhouette coefficient, silhouette index
Συναφείς	5	5
Σύνοψη	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.	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.