ML Anthology

Clustering What Matters: Optimal Approximation for Clustering with Outliers

Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue
JAIR 2023 pp. 143-166
doi:10.1613/JAIR.1.14883 /jair/2023/agrawal2023jair-clustering/
JAIR Semantic Scholar

Cite

Text

Agrawal et al. "Clustering What Matters: Optimal Approximation for Clustering with Outliers." Journal of Artificial Intelligence Research, 2023. doi:10.1613/JAIR.1.14883

Markdown

[Agrawal et al. "Clustering What Matters: Optimal Approximation for Clustering with Outliers." Journal of Artificial Intelligence Research, 2023.](https://mlanthology.org/jair/2023/agrawal2023jair-clustering/) doi:10.1613/JAIR.1.14883

BibTeX

@article{agrawal2023jair-clustering,
  title     = {{Clustering What Matters: Optimal Approximation for Clustering with Outliers}},
  author    = {Agrawal, Akanksha and Inamdar, Tanmay and Saurabh, Saket and Xue, Jie},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2023},
  pages     = {143-166},
  doi       = {10.1613/JAIR.1.14883},
  volume    = {78},
  url       = {https://mlanthology.org/jair/2023/agrawal2023jair-clustering/}
}