Improvements on approximation algorithms for clustering probabilistic data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-021-01601-4.pdf
Reference33 articles.
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3. Megiddo N (1984) On the complexity of some common geometric location problems. SIAM J Comput 13(1):182–196. https://doi.org/10.1137/0213014
4. Wang H, Zhang J (2015) One-dimensional k-center on uncertain data. Theor Comput Sci 602:114–124. https://doi.org/10.1016/j.tcs.2015.08.017
5. Arya V, Garg N, Khandekar R, Meyerson A, Munagala K, Pandit V (2004) Local search heuristics for k-median and facility location problems. SIAM J Comput 33(3):544–562. https://doi.org/10.1137/S0097539702416402
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