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Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal

Research article (Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020) · cited 36× · AI/ML
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Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal

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Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal is a scholarly article[1].

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  • Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal's instance of is recorded as scholarly article[2].

Related Entities

Nisheeth K. Vishnoi

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal. Retrieved May 24, 2026, from https://4ort.xyz/entity/coresets-for-clustering-in-euclidean-spaces-importance-sampling-is-nearly-optimal
MLA “Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coresets-for-clustering-in-euclidean-spaces-importance-sampling-is-nearly-optimal.
BibTeX @misc{4ortxyz_coresets-for-clustering-in-euclidean-spaces-importance-sampling-is-nearly-optimal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal}}, year = {2026}, url = {https://4ort.xyz/entity/coresets-for-clustering-in-euclidean-spaces-importance-sampling-is-nearly-optimal}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coresets for clustering in Euclidean spaces: importance sampling is nearly optimal — https://4ort.xyz/entity/coresets-for-clustering-in-euclidean-spaces-importance-sampling-is-nearly-optimal (retrieved 2026-05-24)

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