Analyzing High-Dimensional Data by Subspace Validity

Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk. Analyzing High-Dimensional Data by Subspace Validity. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA. pages 473-476, IEEE Computer Society, 2003. [doi]

@inproceedings{AmirKNKW03,
  title = {Analyzing High-Dimensional Data by Subspace Validity},
  author = {Amihood Amir and Reuven Kashi and Nathan S. Netanyahu and Daniel A. Keim and Markus Wawryniuk},
  year = {2003},
  url = {http://csdl.computer.org/comp/proceedings/icdm/2003/1978/00/19780473abs.htm},
  tags = {data-flow},
  researchr = {https://researchr.org/publication/AmirKNKW03},
  cites = {0},
  citedby = {0},
  pages = {473-476},
  booktitle = {Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-1978-4},
}