Robust Correlation Clustering Problem with Locally Bounded Disagreements

Article Properties
  • DOI (url)
    10.26599/tst.2023.9010027
  • Publication Date
    2024/02/01
  • Journal
    Tsinghua Science and Technology
  • Indian UGC (journal)
  • Refrences
    23
  • Sai Ji Institute of Mathematics, Hebei University of Technology,Tianjin,China,300401
  • Min Li School of Mathematics and Statistics, Shandong Normal University,Jinan,China,250358
  • Mei Liang College of Statistics and Data Science, Beijing University of Technology,Beijing,China,100124
  • Zhenning Zhang Beijing University of Technology,Department of Operations Research and Information Engineering,Beijing,China,100124
Cite
Ji, Sai, et al. “Robust Correlation Clustering Problem With Locally Bounded Disagreements”. Tsinghua Science and Technology, vol. 29, no. 1, 2024, pp. 66-75, https://doi.org/10.26599/tst.2023.9010027.
Ji, S., Li, M., Liang, M., & Zhang, Z. (2024). Robust Correlation Clustering Problem with Locally Bounded Disagreements. Tsinghua Science and Technology, 29(1), 66-75. https://doi.org/10.26599/tst.2023.9010027
Ji S, Li M, Liang M, Zhang Z. Robust Correlation Clustering Problem with Locally Bounded Disagreements. Tsinghua Science and Technology. 2024;29(1):66-75.
Refrences
Title Journal Journal Categories Citations Publication Date
Robust correlation clustering 2019
Correlation clustering with adaptive similarity queries 2019
Partial optimality and fast lower bounds for weighted correlation clustering 2018
Correlation clustering with noisy partial information 2015
Correlation clustering with asymmetric classification errors 0