Using visual statistical inference to better understand random class separations in high dimension, low sample size data
Crossref DOI link: https://doi.org/10.1007/s00180-014-0534-x
Published Online: 2014-11-02
Published Print: 2015-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Roy Chowdhury, Niladri
Cook, Dianne
Hofmann, Heike
Majumder, Mahbubul
Lee, Eun-Kyung
Toth, Amy L.
Text and Data Mining valid from 2014-11-02