K-means++ (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "K-means++" in English language version.

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arxiv.org

Nielsen, Frank; Nock, Richard (2013), "Total Jensen divergences: Definition, properties and clustering", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2016–2020, arXiv:1309.7109, Bibcode:2013arXiv1309.7109N, doi:10.1109/ICASSP.2015.7178324, ISBN 978-1-4673-6997-8, S2CID 463728.

doi.org

Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V. (2004). "Clustering Large Graphs via the Singular Value Decomposition". Machine Learning. 56 (1–3): 9–33. doi:10.1023/B:MACH.0000033113.59016.96.
Kanungo, T.; Mount, D.; Netanyahu, N.; Piatko, C.; Silverman, R.; Wu, A. (2004), "A Local Search Approximation Algorithm for k-Means Clustering", Computational Geometry: Theory and Applications, 28 (2–3): 89–112, doi:10.1016/j.comgeo.2004.03.003.
Nielsen, Frank; Nock, Richard (2013), "Total Jensen divergences: Definition, properties and clustering", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2016–2020, arXiv:1309.7109, Bibcode:2013arXiv1309.7109N, doi:10.1109/ICASSP.2015.7178324, ISBN 978-1-4673-6997-8, S2CID 463728.

harvard.edu

ui.adsabs.harvard.edu

Nielsen, Frank; Nock, Richard (2013), "Total Jensen divergences: Definition, properties and clustering", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2016–2020, arXiv:1309.7109, Bibcode:2013arXiv1309.7109N, doi:10.1109/ICASSP.2015.7178324, ISBN 978-1-4673-6997-8, S2CID 463728.

lingpipe-blog.com

http://lingpipe-blog.com/2009/03/23/arthur-vassilvitskii-2007-kmeans-the-advantages-of-careful-seeding/ Lingpipe Blog

ohio-state.edu

cse.ohio-state.edu

http://www.cse.ohio-state.edu/~johansek/clustering.pdf^{[permanent dead link]} Clustering Techniques for Financial Diversification, March 2009

semanticscholar.org

api.semanticscholar.org

Nielsen, Frank; Nock, Richard (2013), "Total Jensen divergences: Definition, properties and clustering", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2016–2020, arXiv:1309.7109, Bibcode:2013arXiv1309.7109N, doi:10.1109/ICASSP.2015.7178324, ISBN 978-1-4673-6997-8, S2CID 463728.

stanford.edu

ilpubs.stanford.edu

Arthur, D.; Vassilvitskii, S. (2007). "k-means++: the advantages of careful seeding" (PDF). Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics Philadelphia, PA, USA. pp. 1027–1035.

theory.stanford.edu

http://theory.stanford.edu/~sergei/slides/BATS-Means.pdf Slides for presentation of method by Arthur, D. and Vassilvitskii, S.

usc.edu

sir-lab.usc.edu

http://sir-lab.usc.edu/publications/2008-ICWSM2LEES.pdf Archived 2016-03-03 at the Wayback Machine Discovering Relationships among Tags and Geotags, 2007

vldb.org

B. Bahmani, B. Moseley, A. Vattani, R. Kumar, S. Vassilvitskii "Scalable K-means++" 2012 Proceedings of the VLDB Endowment.

web.archive.org

https://web.archive.org/web/20110927100642/http://www.cs.ucla.edu/~shindler/shindler-kMedian-survey.pdf Approximation Algorithms for the Metric k-Median Problem
http://sir-lab.usc.edu/publications/2008-ICWSM2LEES.pdf Archived 2016-03-03 at the Wayback Machine Discovering Relationships among Tags and Geotags, 2007