A 2k kernel for the cluster editing problem

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Cite
Chen, Jianer, and Jie Meng. “A 2k Kernel for the Cluster Editing Problem”. Journal of Computer and System Sciences, vol. 78, no. 1, 2012, pp. 211-20, https://doi.org/10.1016/j.jcss.2011.04.001.
Chen, J., & Meng, J. (2012). A 2k kernel for the cluster editing problem. Journal of Computer and System Sciences, 78(1), 211-220. https://doi.org/10.1016/j.jcss.2011.04.001
Chen, Jianer, and Jie Meng. “A 2k Kernel for the Cluster Editing Problem”. Journal of Computer and System Sciences 78, no. 1 (2012): 211-20. https://doi.org/10.1016/j.jcss.2011.04.001.
Chen J, Meng J. A 2k kernel for the cluster editing problem. Journal of Computer and System Sciences. 2012;78(1):211-20.
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Refrences
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Graph-Modeled Data Clustering: Exact Algorithms for Clique Generation Theory of Computing Systems
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Citations
Title Journal Journal Categories Citations Publication Date
Asymptotic bounds for clustering problems in random graphs

Networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Technology: Manufactures: Production management. Operations management
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
2k-Vertex Kernels for Cluster Deletion and Strong Triadic Closure Journal of Computer Science and Technology
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A survey of parameterized algorithms and the complexity of edge modification Computer Science Review
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(1,1)-Cluster Editing is polynomial-time solvable Discrete Applied Mathematics
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On the parameterized complexity of s-club cluster deletion problems Theoretical Computer Science
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Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 22 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Cluster editing with locally bounded modifications and was published in 2012. The most recent citation comes from a 2023 study titled 2k-Vertex Kernels for Cluster Deletion and Strong Triadic Closure. This article reached its peak citation in 2023, with 6 citations. It has been cited in 15 different journals, 6% of which are open access. Among related journals, the Information Processing Letters cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year