Tight lower bound instances for k-means++ in two dimensions-Reference-Cited by-同舟云学术

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Tight lower bound instances for k-means++ in two dimensions

Published:2016-06 Issue: Volume:634 Page:55-66
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Bhattacharya Anup,Jaiswal Ragesh,Ailon Nir

Funder

ISF–UGC India–Israel

Marie Curie International Reintegration

Israel Science Foundation

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference13 articles.

1. Bregman clustering for separable instances;Ackermann,2010

2. Adaptive sampling for k-means clustering;Aggarwal,2009

3. Streaming k-means approximation;Ailon,2009

4. k-means++ under approximation stability;Agarwal;Theoret. Comput. Sci.,2015

5. How slow is the k-means method?;Arthur,2006

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