Finding Relevant Points for Nearest-Neighbor Classification

David Eppstein. Finding Relevant Points for Nearest-Neighbor Classification. In Karl Bringmann, Timothy Chan, editors, 5th Symposium on Simplicity in Algorithms, SOSA@SODA 2022, Virtual Conference, January 10-11, 2022. pages 68-78, SIAM, 2022. [doi]

@inproceedings{Eppstein22,
  title = {Finding Relevant Points for Nearest-Neighbor Classification},
  author = {David Eppstein},
  year = {2022},
  doi = {10.1137/1.9781611977066.6},
  url = {https://doi.org/10.1137/1.9781611977066.6},
  researchr = {https://researchr.org/publication/Eppstein22},
  cites = {0},
  citedby = {0},
  pages = {68-78},
  booktitle = {5th Symposium on Simplicity in Algorithms, SOSA@SODA 2022, Virtual Conference, January 10-11, 2022},
  editor = {Karl Bringmann and Timothy Chan},
  publisher = {SIAM},
  isbn = {978-1-61197-706-6},
}