Σύγκριση μεθόδων

	Αδράνεια	Συντελεστής Σιλουέτας
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	1967	1987
Δημιουργός	Stuart Lloyd, James MacQueen	Peter Rousseeuw
Τύπος	Clustering quality metric	Cluster quality metric
Θεμελιώδης πηγή	Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137.	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	WCSS, within-cluster sum of squares, cluster cohesion	silhouette coefficient, silhouette index
Συναφείς	5	5
Σύνοψη	Inertia, also called Within-Cluster Sum of Squares (WCSS), is a measure of cluster cohesion that quantifies how tightly points are grouped around their cluster centroids. Lower values indicate more compact, cohesive clusters. Inertia is the primary objective function for k-means clustering and has been a fundamental metric since the method's introduction.	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.