方法证据记录
Inertia (Within-Cluster Sum of Squares)
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Inertia: Sum of Squared Distances to Cluster Centroids
分类方法记录 · mcdm / model-evaluation
- Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. · DOI 10.1109/TIT.1982.1056489
- 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). · URL
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