Universität zu Köln

Kappmeier, Jan-Philipp W., Schmidt, Daniel R. ORCID: 0000-0001-7381-912X and Schmidt, Melanie ORCID: 0000-0003-4856-3905 (2015). Solving k-means on High-Dimensional Big Data. In: Experimental Algorithms : 14th International Symposium, SEA 2015, Paris, France, June 29 – July 1, 2015, Proceedings, pp. 259-270. Cham: Springer. ISBN 978-3-319-20085-9

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Item Type:	Book Section, Proceedings Item or annotation in a legal commentary
Creators:	Creators Email ORCID ORCID Put Code Kappmeier, Jan-Philipp W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmidt, Daniel R. UNSPECIFIED orcid.org/0000-0001-7381-912X UNSPECIFIED Schmidt, Melanie UNSPECIFIED orcid.org/0000-0003-4856-3905 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-117288
DOI:	10.1007/978-3-319-20086-6
Title of Book:	Experimental Algorithms : 14th International Symposium, SEA 2015, Paris, France, June 29 – July 1, 2015, Proceedings
Series Name:	Lecture Notes in Computer Science
Volume:	9125
Page Range:	pp. 259-270
Number of Pages:	360
Date:	2015
Publisher:	Springer
Place of Publication:	Cham
ISBN:	978-3-319-20085-9
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects:	Data processing Computer science
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/11728