ML Anthology

Clustering What Matters: Optimal Approximation for Clustering with Outliers

Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue
AAAI 2023 pp. 6666-6674
doi:10.1609/AAAI.V37I6.25818 /aaai/2023/agrawal2023aaai-clustering/
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Cite

Text

Agrawal et al. "Clustering What Matters: Optimal Approximation for Clustering with Outliers." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I6.25818

Markdown

[Agrawal et al. "Clustering What Matters: Optimal Approximation for Clustering with Outliers." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/agrawal2023aaai-clustering/) doi:10.1609/AAAI.V37I6.25818

BibTeX

@inproceedings{agrawal2023aaai-clustering,
  title     = {{Clustering What Matters: Optimal Approximation for Clustering with Outliers}},
  author    = {Agrawal, Akanksha and Inamdar, Tanmay and Saurabh, Saket and Xue, Jie},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {6666-6674},
  doi       = {10.1609/AAAI.V37I6.25818},
  url       = {https://mlanthology.org/aaai/2023/agrawal2023aaai-clustering/}
}