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dc.contributor.author이은경-
dc.date.accessioned2016-08-29T12:08:39Z-
dc.date.available2016-08-29T12:08:39Z-
dc.date.issued2014-
dc.identifier.issn0943-4062-
dc.identifier.otherOAK-14431-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/230325-
dc.description.abstractData mining; Lineup; Projection pursuit; Statistical graphics; Visualization-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titleUsing visual statistical inference to better understand random class separations in high dimension, low sample size data-
dc.typeArticle in Press-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.journaltitleComputational Statistics-
dc.identifier.doi10.1007/s00180-014-0534-x-
dc.identifier.wosidWOS:000357469200001-
dc.identifier.scopusid2-s2.0-84908409258-
dc.author.googleRoy Chowdhury N.-
dc.author.googleCook D.-
dc.author.googleHofmann H.-
dc.author.googleMajumder M.-
dc.author.googleLee E.-K.-
dc.author.googleToth A.L.-
dc.contributor.scopusid이은경(57188770360)-
dc.date.modifydate20180901081003-
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