Fully Dynamic k-Center Clustering with Outliers-Reference-Cited by-同舟云学术

Fully Dynamic k-Center Clustering with Outliers

Published:2022 Issue: Volume: Page:150-161
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Chan T.-H. Hubert,Lattanzi Silvio,Sozio Mauro,Wang Bo

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22105-7_14

Reference22 articles.

1. Bateni, M., Esfandiari, H., Jayaram, R., Mirrokni, V.S.: Optimal fully dynamic k-centers clustering. CoRR abs/2112.07050 (2021)

2. de Berg, M., Monemizadeh, M., Zhong, Y.: k-center clustering with outliers in the sliding-window model. In: ESA, vol. 204, pp. 1–13. Schloss Dagstuhl (2021)

3. Bhaskara, A., Vadgama, S., Xu, H.: Greedy sampling for approximate clustering in the presence of outliers. In: NeurIPS, pp. 11146–11155 (2019)

4. Ceccarello, M., Pietracaprina, A., Pucci, G.: Solving k-center clustering (with outliers) in MapReduce and streaming, almost as accurately as sequentially. Proc. VLDB Endow. 12(7), 766–778 (2019)

5. Chan, T.H., Guerqin, A., Sozio, M.: Fully dynamic k-center clustering. In: WWW, pp. 579–587 (2018)

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