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Solving k-center clustering (with outliers) in

Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci , journal = · 2019 · arXiv 7315.331731

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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 14

    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.