%0 Journal Article %1 journals/cstat/ChowdhuryCHMLT15 %A Chowdhury, Niladri Roy %A Cook, Dianne %A Hofmann, Heike %A Majumder, Mahbubul %A Lee, Eun-Kyung %A Toth, Amy L. %D 2015 %J Comput. Stat. %K dblp %N 2 %P 293-316 %T Using visual statistical inference to better understand random class separations in high dimension, low sample size data. %U http://dblp.uni-trier.de/db/journals/cstat/cstat30.html#ChowdhuryCHMLT15 %V 30

@article{journals/cstat/ChowdhuryCHMLT15, added-at = {2020-09-05T00:00:00.000+0200}, author = {Chowdhury, Niladri Roy and Cook, Dianne and Hofmann, Heike and Majumder, Mahbubul and Lee, Eun-Kyung and Toth, Amy L.}, biburl = {https://www.bibsonomy.org/bibtex/22fe456c0971b52ccb457e1fe0070b094/dblp}, ee = {https://www.wikidata.org/entity/Q57392168}, interhash = {288c524c8f81f4038c27ef5cc2094ff8}, intrahash = {2fe456c0971b52ccb457e1fe0070b094}, journal = {Comput. Stat.}, keywords = {dblp}, number = 2, pages = {293-316}, timestamp = {2020-09-09T12:24:14.000+0200}, title = {Using visual statistical inference to better understand random class separations in high dimension, low sample size data.}, url = {http://dblp.uni-trier.de/db/journals/cstat/cstat30.html#ChowdhuryCHMLT15}, volume = 30, year = 2015 }