Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0129183103004759
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dc.titleSupport vector machine classification of physical and biological datasets
dc.contributor.authorCai, C.-Z.
dc.contributor.authorWang, W.-L.
dc.contributor.authorChen, Y.-Z.
dc.date.accessioned2014-05-19T02:55:31Z
dc.date.available2014-05-19T02:55:31Z
dc.date.issued2003-06
dc.identifier.citationCai, C.-Z., Wang, W.-L., Chen, Y.-Z. (2003-06). Support vector machine classification of physical and biological datasets. International Journal of Modern Physics C 14 (5) : 575-585. ScholarBank@NUS Repository. https://doi.org/10.1142/S0129183103004759
dc.identifier.issn01291831
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53199
dc.description.abstractThe support vector machine (SVM) is used in the classification of sonar signals and DNA-binding proteins. Our study on the classification of sonar signals shows that SVM produces a result better than that obtained from other classification methods, which is consistent from the findings of other studies. The testing accuracy of classification is 95.19% as compared with that of 90.4% from multilayered neural network and that of 82.7% from nearest neighbor classifier. From our results on the classification of DNA-binding proteins, one finds that SVM gives a testing accuracy of 82.32%, which is slightly better than that obtained from an earlier study of SVM classification of protein-protein interactions. Hence, our study indicates the usefulness of SVM in the identification of DNA-binding proteins. Further improvements in SVM algorithm and parameters are suggested.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S0129183103004759
dc.sourceScopus
dc.subjectAlgorithm
dc.subjectClassifier
dc.subjectDNA-binding proteins
dc.subjectNeural network
dc.subjectSonar signal
dc.subjectSupport vector machine
dc.typeArticle
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.contributor.departmentBIOPROCESSING TECHNOLOGY CENTRE
dc.description.doi10.1142/S0129183103004759
dc.description.sourcetitleInternational Journal of Modern Physics C
dc.description.volume14
dc.description.issue5
dc.description.page575-585
dc.identifier.isiut000186686700005
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