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Speeding up k-means by approximating Euclidean distances via block vectors

Research article (International Conference on Machine Learning, 2016) · cited 31× · AI/ML
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Speeding up k-means by approximating Euclidean distances via block vectors

Summary

Speeding up k-means by approximating Euclidean distances via block vectors is a scholarly article[1].

Key Facts

  • Speeding up k-means by approximating Euclidean distances via block vectors's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Speeding up k-means by approximating Euclidean distances via block vectors. Retrieved May 24, 2026, from https://4ort.xyz/entity/speeding-up-k-means-by-approximating-euclidean-distances-via-block-vectors
MLA “Speeding up k-means by approximating Euclidean distances via block vectors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speeding-up-k-means-by-approximating-euclidean-distances-via-block-vectors.
BibTeX @misc{4ortxyz_speeding-up-k-means-by-approximating-euclidean-distances-via-block-vectors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speeding up k-means by approximating Euclidean distances via block vectors}}, year = {2026}, url = {https://4ort.xyz/entity/speeding-up-k-means-by-approximating-euclidean-distances-via-block-vectors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speeding up k-means by approximating Euclidean distances via block vectors — https://4ort.xyz/entity/speeding-up-k-means-by-approximating-euclidean-distances-via-block-vectors (retrieved 2026-05-24)

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