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Application of Linear Regression Classification to low-dimensional datasets

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dc.contributor.authorBarkana, Atalay
dc.contributor.authorAtalay Barkana
dc.contributor.orcid0000-0003-2919-6011
dc.contributor.orcid0000-0003-1800-7908
dc.date.accessioned2025-11-13T10:06:15Z
dc.date.issued2013-10-26
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2013.10.009
dc.identifier.endpage335
dc.identifier.issn0925-2312
dc.identifier.openalexW1992262672
dc.identifier.startpage331
dc.identifier.urihttps://hdl.handle.net/11421/3130
dc.identifier.urihttps://doi.org/10.1016/j.neucom.2013.10.009
dc.identifier.volume131
dc.language.isoen
dc.relation.ispartofNeurocomputing
dc.rightsrestrictedAccess
dc.subjectEigenvalues and eigenvectors
dc.subjectPattern recognition (psychology)
dc.subjectProjection (relational algebra)
dc.subjectMathematics
dc.subjectPrincipal component analysis
dc.subjectLinear regression
dc.subjectMatrix (chemical analysis)
dc.subjectComputer science
dc.subjectCorrelation
dc.subjectFeature vector
dc.subjectData mining
dc.subjectAlgorithm
dc.subjectArtificial intelligence
dc.subjectStatistics
dc.titleApplication of Linear Regression Classification to low-dimensional datasets
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5110253546

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