A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data

Jian Zhou, Ding Liu. A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data. In ICMLC 2021: 13th International Conference on Machine Learning and Computing, Shenzhen China, 26 February, 2021- 1 March, 2021. pages 285-289, ACM, 2021. [doi]

@inproceedings{ZhouL21-11,
  title = {A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data},
  author = {Jian Zhou and Ding Liu},
  year = {2021},
  doi = {10.1145/3457682.3457725},
  url = {https://doi.org/10.1145/3457682.3457725},
  researchr = {https://researchr.org/publication/ZhouL21-11},
  cites = {0},
  citedby = {0},
  pages = {285-289},
  booktitle = {ICMLC 2021: 13th International Conference on Machine Learning and Computing, Shenzhen China, 26 February, 2021- 1 March, 2021},
  publisher = {ACM},
  isbn = {978-1-4503-8931-0},
}