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Kielezo cha Davies-Bouldin×Inertia×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili19791967
MwanzilishiDavid L. Davies, Donald W. BouldinStuart Lloyd, James MacQueen
AinaCluster quality metricClustering quality metric
Chanzo asiliaDavies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227. DOI ↗Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI ↗
Majina mbadalaDBI, Davies Bouldin indexWCSS, within-cluster sum of squares, cluster cohesion
Zinazohusiana55
MuhtasariThe 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.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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ScholarGateLinganisha mbinu: Davies-Bouldin Index · Inertia (Within-Cluster Sum of Squares). Imepatikana 2026-06-20 kutoka https://scholargate.app/sw/compare