Using SVM for Classification

Dumitru Ciobanu ()
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Dumitru Ciobanu: University of Craiova, Romania

Acta Universitatis Danubius. OEconomica, 2012, issue 5(5), 209-224

Abstract: Support Vector Machines (SVMs)have found many applications in various fields. They have been introduced for classification problems and extended to regression. In this paperI review the utilization of SVM for classification problems and exemplify this with application on IRIS datasets. I used the Matlab programming language to implement linear and nonlinear classificators and apply this on the dataset.

Keywords: Support Vector Machines; optimal separating hyperplane; generalized separating hyperplane; nonlinear classifications; Iris dataset (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:dug:actaec:y:2012:i:5:p:209-224

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