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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Inertia×Dunn Index×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili19671974
MwanzilishiStuart Lloyd, James MacQueenJoseph C. Dunn
AinaClustering quality metricCluster quality metric
Chanzo asiliaLloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI ↗Dunn, J. C. (1974). Well-separated clusters and optimal fuzzy partitions. Journal of Cybernetics, 4(1), 95-104. DOI ↗
Majina mbadalaWCSS, within-cluster sum of squares, cluster cohesionDunn's index, separation coefficient
Zinazohusiana55
MuhtasariInertia, 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 Dunn Index, introduced by Joseph C. Dunn in 1974, is a metric that captures cluster quality by measuring the ratio of the minimum between-cluster distance to the maximum within-cluster diameter. Higher values indicate well-separated and compact clusters, with better clustering quality.
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ScholarGateLinganisha mbinu: Inertia (Within-Cluster Sum of Squares) · Dunn Index. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare