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dc.contributor.authorSharma, A
dc.contributor.authorPaliwal, KK
dc.contributor.authorImoto, S
dc.contributor.authorMiyano, S
dc.contributor.authorSharma, V
dc.contributor.authorAnanthanarayanan, R
dc.date.accessioned2017-05-03T13:01:12Z
dc.date.available2017-05-03T13:01:12Z
dc.date.issued2014
dc.identifier.issn1327-2314
dc.identifier.doi10.3233/KES-140285
dc.identifier.urihttp://hdl.handle.net/10072/67289
dc.description.abstractAs the performance of hardware is limited, the focus has been to develop objective, optimized and computationally efficient algorithms for a given task. To this extent, fixed-point and approximate algorithms have been developed and successfully applied in many areas of research. In this paper we propose a feature selection method based on fixed-point algorithm and show its application in the field of human cancer classification using DNA microarray gene expression data. In the fixed-point algorithm, we utilize between-class scatter matrix to compute the leading eigenvector. This eigenvector has been used to select genes. In the computation of the eigenvector, the eigenvalue decomposition of the scatter matrix is not required which significantly reduces its computational complexity and memory requirement.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIOS Press
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom55
dc.relation.ispartofpageto59
dc.relation.ispartofissue1
dc.relation.ispartofjournalInternational Journal of Knowledge-Based and Intelligent Engineering Systems
dc.relation.ispartofvolume18
dc.rights.retentionY
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode40
dc.titleA feature selection method using fixed-point algorithm for DNA microarray gene expression data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.


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