Theoretical Analysis of the k-Means Algorithm – A Survey-Reference-Cited by-同舟云学术

Theoretical Analysis of the k-Means Algorithm – A Survey

Published:2016 Issue: Volume: Page:81-116
ISSN:0302-9743
Container-title:Algorithm Engineering
language:
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Author:

Blömer Johannes,Lammersen Christiane,Schmidt Melanie,Sohler Christian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49487-6_3

Reference76 articles.

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2. Ackermann, M.R., Blömer, J.: Coresets and approximate clustering for Bregman divergences. In: Proceedings of the 20th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2009), pp. 1088–1097. Society for Industrial and Applied Mathematics (SIAM) (2009). http://www.cs.uni-paderborn.de/uploads/tx_sibibtex/CoresetsAndApproximateClusteringForBregmanDivergences.pdf

3. Lecture Notes in Computer Science;MR Ackermann,2010

4. Ackermann, M.R., Blömer, J., Scholz, C.: Hardness and non-approximability of Bregman clustering problems. In: Electronic Colloquium on Computational Complexity (ECCC), vol. 18, no. 15, pp. 1–20 (2011). http://eccc.uni-trier.de/report/2011/015/ , report no. TR11-015

5. Ackermann, M.R., Blömer, J., Sohler, C.: Clustering for metric and non-metric distance measures. ACM Trans. Algorithms 6(4), Article No. 59:1–26 (2010). Special issue on SODA 2008

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