Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut

Shenfei Pei, Feiping Nie 0001, Rong Wang, Xuelong Li. Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{Pei0WL20,
  title = {Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut},
  author = {Shenfei Pei and Feiping Nie 0001 and Rong Wang and Xuelong Li},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/aa108f56a10e75c1f20f27723ecac85f-Abstract.html},
  researchr = {https://researchr.org/publication/Pei0WL20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}