Using visual statistical inference to better understand random class separations in high dimension, low sample size data

Niladri Roy Chowdhury, Dianne Cook, Heike Hofmann, Mahbubul Majumder, Eun-Kyung Lee, Amy L. Toth. Using visual statistical inference to better understand random class separations in high dimension, low sample size data. Comput. Stat., 30(2):293-316, 2015. [doi]

@article{ChowdhuryCHMLT15,
  title = {Using visual statistical inference to better understand random class separations in high dimension, low sample size data},
  author = {Niladri Roy Chowdhury and Dianne Cook and Heike Hofmann and Mahbubul Majumder and Eun-Kyung Lee and Amy L. Toth},
  year = {2015},
  doi = {10.1007/s00180-014-0534-x},
  url = {https://doi.org/10.1007/s00180-014-0534-x},
  researchr = {https://researchr.org/publication/ChowdhuryCHMLT15},
  cites = {0},
  citedby = {0},
  journal = {Comput. Stat.},
  volume = {30},
  number = {2},
  pages = {293-316},
}