MCDMCluster Cohesion Measure

Inertia

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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Sources

  1. Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI: 10.1109/TIT.1982.1056489
  2. MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (Vol. 1, pp. 281-297). link

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Referenced by

ScholarGateInertia (Within-Cluster Sum of Squares) (Inertia: Sum of Squared Distances to Cluster Centroids). Retrieved 2026-06-04 from https://scholargate.app/en/model-evaluation/inertia