Improved approximations for Euclidean k -means and k -median, via nested quasi-independent sets

Author:

Cohen-Addad Vincent1,Esfandiari Hossein2,Mirrokni Vahab2,Narayanan Shyam3

Affiliation:

1. Google Research, Switzerland

2. Google Research, USA

3. Massachusetts Institute of Technology, USA

Publisher

ACM

Reference41 articles.

1. Better guarantees for k-means and Euclidean k-median by primal-dual algorithms;Ahmadian Sara;SIAM J. Comput.,2019

2. David Arthur and Sergei Vassilvitskii . 2007 . k-means++: the advantages of careful seeding . In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007 , New Orleans, Louisiana, USA , January 7-9, 2007, Nikhil Bansal, Kirk Pruhs, and Cliford Stein (Eds.). SIAM, 1027-1035. http://dl.acm.org/citation.cfm?id= 1283383. 1283494 David Arthur and Sergei Vassilvitskii. 2007. k-means++: the advantages of careful seeding. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA, January 7-9, 2007, Nikhil Bansal, Kirk Pruhs, and Cliford Stein (Eds.). SIAM, 1027-1035. http://dl.acm.org/citation.cfm?id= 1283383. 1283494

3. Worst-Case and Smoothed Analysis of the ICP Algorithm, with an Application to the k-Means Method

4. Local Search Heuristics for k-Median and Facility Location Problems

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