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Estadística de la bretxa×Índex Calinski-Harabasz×Inèrcia×
CampAvaluació de modelsAvaluació de modelsAvaluació de models
FamíliaMCDMMCDMMCDM
Any d'origen200119741967
Autor originalRobert Tibshirani, Guenther Walther, Trevor HastieTadeusz Calinski, Jerzy HarabaszStuart Lloyd, James MacQueen
TipusStatistical criterionCluster quality metricClustering quality metric
Font seminalTibshirani, R., Walther, G., & Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(2), 411-423. DOI ↗Calinski, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3(1), 1-27. DOI ↗Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI ↗
Àliesgap index, Tibshirani gap statisticvariance ratio criterion, pseudo F-statistic, CH indexWCSS, within-cluster sum of squares, cluster cohesion
Relacionats555
ResumThe Gap Statistic, developed by Tibshirani, Walther, and Hastie in 2001, is a principled statistical method for determining the optimal number of clusters in a dataset. It compares the observed within-cluster sum of squares to the expected value under a null hypothesis of no clustering structure, providing a theoretically grounded approach to cluster number selection.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.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.
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ScholarGateCompara mètodes: Gap Statistic · Calinski-Harabasz Index · Inertia (Within-Cluster Sum of Squares). Recuperat el 2026-06-20 de https://scholargate.app/ca/compare