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Improvement of chronic obstructive pulmonary disease (COPD) classification accuracy using classifier comparison and feature selection : Supervised and unsupervised learning

DC Field Value Language
dc.contributor.advisor강석호-
dc.contributor.author성유섭-
dc.date.accessioned2009-11-09T13:05:21Z-
dc.date.available2009-11-09T13:05:21Z-
dc.date.copyright2008.-
dc.date.issued2008-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000041062-
dc.identifier.urihttps://hdl.handle.net/10371/11720-
dc.descriptionThesis(masters) --서울대학교 대학원 :산업공학과,2008.2.eng
dc.format.extent[v], 56 p.eng
dc.language.isoen-
dc.publisher서울대학교 대학원en
dc.subjectMachine learningeng
dc.subjectMachine learningeng
dc.subjectSVMeng
dc.subjectSVMeng
dc.subjectBayesian Classifiereng
dc.subjectBayesian Classifiereng
dc.subjectNaive Bayesian Classifiereng
dc.subjectNaive Bayesian Classifiereng
dc.subjectANNeng
dc.subjectANNeng
dc.subjectunsupervised clusteringeng
dc.subjectunsupervised clusteringeng
dc.subjectfuzzy c-means clusteringeng
dc.subjectfuzzy c-means clusteringeng
dc.subjectHRCTeng
dc.subjectHRCTeng
dc.subjectCOPDeng
dc.subjectCOPDeng
dc.subjectTexture Analysiseng
dc.subjectTexture Analysiseng
dc.subjectfeature selectioneng
dc.subjectfeature selectioneng
dc.titleImprovement of chronic obstructive pulmonary disease (COPD) classification accuracy using classifier comparison and feature selection : Supervised and unsupervised learningen
dc.typeThesisen
dc.contributor.department산업공학과-
dc.description.degreeMastereng
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