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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Inercia×Vlerësimi i Siluetës×
FushaVlerësimi i modeleveVlerësimi i modeleve
FamiljaMCDMMCDM
Viti i origjinës19671987
KrijuesiStuart Lloyd, James MacQueenPeter Rousseeuw
LlojiClustering quality metricCluster quality metric
Burimi themeluesLloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI ↗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. DOI ↗
Emërtime të tjeraWCSS, within-cluster sum of squares, cluster cohesionsilhouette coefficient, silhouette index
Të lidhura55
PërmbledhjaInertia, 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.
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ScholarGateKrahasoni metodat: Inertia (Within-Cluster Sum of Squares) · Silhouette Score. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare