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An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity , year =

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Scalable and Distributed Silhouette Approximation

cs.DS · 2026-07-02 · unverdicted · novelty 8.0

First sampling algorithms with O(ε) additive error guarantees for local and global silhouette estimation in metric k-clustering, using O(nk ε^{-2} ln(nk/δ)) distances, plus constant-round distributed MapReduce/MPC versions.

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  • Scalable and Distributed Silhouette Approximation cs.DS · 2026-07-02 · unverdicted · none · ref 38

    First sampling algorithms with O(ε) additive error guarantees for local and global silhouette estimation in metric k-clustering, using O(nk ε^{-2} ln(nk/δ)) distances, plus constant-round distributed MapReduce/MPC versions.