Approximation Algorithms for Robust Clustering Problems Using Local Search Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2340-9_17
Reference24 articles.
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2. Arora, S., Raghavan, P., Rao, S.: Approximation schemes for Euclidean $$k$$-medians and related problems. In: Proceedings of the 30th Annual ACM Symposium on Theory of Computing, pp. 106–113 (1998)
3. Arya, V., Garg, N., Khandekar, R., Meyerson, A., Munagala, K., Pandit, V.: Local search heuristics for k-median and facility location problems. SIAM J. Comput. 33(3), 544–562 (2004)
4. Byrka, J., Pensyl, T., Rybicki, B., Srinivasan, A., Trinh, K.: An improved approximation for $$k$$-median, and positive correlation in budgeted optimization, pp. 737–756 (2014)
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