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]
@inproceedings{BotteschBK16,
title = {Speeding up k-means by approximating Euclidean distances via block vectors},
author = {Thomas Bottesch and Thomas Bühler and Markus Kächele},
year = {2016},
url = {http://jmlr.org/proceedings/papers/v48/bottesch16.html},
researchr = {https://researchr.org/publication/BotteschBK16},
cites = {0},
citedby = {0},
pages = {2578-2586},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016},
editor = {Maria-Florina Balcan and Kilian Q. Weinberger},
volume = {48},
series = {JMLR Workshop and Conference Proceedings},
publisher = {JMLR.org},
}