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

Thomas Bottesch, Thomas Bühler, Markus Kächele. Speeding up k-means by approximating Euclidean distances via block vectors. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 2578-2586, JMLR.org, 2016. [doi]

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Thomas Bottesch

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Thomas Bühler

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Markus Kächele

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