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We investigate $k$-means clustering in the online no-substitution setting when the input arrives in \emph{arbitrary} order.
Clustering data streams
Sudipto Guha, Nina Mishra, Rajeev Motwani, and Liadan O’Callaghan · 2000
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Adam Meyerson · 2001
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Clustering data streams: Theory and practice
Sudipto Guha, Adam Meyerson, Nina Mishra, Rajeev Motwani, and Liadan O’Callaghan · 2003
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Tapas Kanungo, David M Mount, Nathan S Netanyahu, Christine D Piatko, Ruth Silverman, and Angela Y Wu · 2004
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David Arthur and Sergei Vassilvitskii · 2006
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Data streams: models and algorithms , volume 31
Charu C Aggarwal · 2007
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Daniel Aloise, Amit Deshpande, Pierre Hansen, and Preyas Popat · 2009
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Vladimir Braverman, Adam Meyerson, Rafail Ostrovsky, Alan Roytman, Michael Shindler, and Brian Tagiku · 2011
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Bichen Zheng, Sang Won Yoon, and Sarah S Lam · 2014
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An algorithm for online k-means clustering
Edo Liberty, Ram Sriharsha, and Maxim Sviridenko · 2016
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Jeff M Phillips · 2016
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Learning mixture of gaussians with streaming data
Aditi Raghunathan, Prateek Jain, and Ravishankar Krishnawamy · 2017
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Online facility location with mobile facilities
Björn Feldkord and Friedhelm Meyer auf der Heide · 2018
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Online facility location against at-bounded adversary
Harry Lang · 2018
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Dimitris Fotakis · 2011
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Michael Shindler, Alex Wong, and Adam W Meyerson · 2011
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Margareta Ackerman and Sanjoy Dasgupta · 2014
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Michal Moshkovitz · 2019
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Dan Feldman · 2020
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Tom Hess and Sivan Sabato · 2020
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