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The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data

dc.contributor.authorHowley, Tom
dc.contributor.authorMadden, Michael G.
dc.contributor.authorO’Connell, Marie-Louise
dc.contributor.authorRyder, Alan G.
dc.date.accessioned2018-08-24T08:25:10Z
dc.date.available2018-08-24T08:25:10Z
dc.date.issued2006-09-01
dc.identifier.citationHowley, Tom; Madden, Michael G. O’Connell, Marie-Louise; Ryder, Alan G. (2006). The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data. Knowledge-Based Systems 19 (5), 363-370
dc.identifier.issn0950-7051
dc.identifier.urihttp://hdl.handle.net/10379/9321
dc.publisherElsevier BV
dc.relation.ispartofKnowledge-Based Systems
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectmachine learning
dc.subjecthigh-dimensional data
dc.subjectprincipal component analysis
dc.subjectnipals
dc.subjectspectroscopy
dc.subjectsupport vector machines
dc.subjectraman-spectroscopy
dc.subjectclassification
dc.subjectcancer
dc.titleThe effect of principal component analysis on machine learning accuracy with high-dimensional spectral data
dc.typeArticle
dc.identifier.doi10.1016/j.knosys.2005.11.014
dc.local.publishedsourcehttp://www.it.nuigalway.ie/m_madden/profile/pubs/kbs-2006b.pdf
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