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Using SVM for Classification

Author

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  • Dumitru Ciobanu

    (University of Craiova, Romania)

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.

Suggested Citation

  • Dumitru Ciobanu, 2012. "Using SVM for Classification," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 5(5), pages 209-224, October.
    • Handle: RePEc:dug:actaec:y:2012:i:5:p:209-224
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    File URL: http://journals.univ-danubius.ro/index.php/oeconomica/article/view/1425/1331
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    Cited by:

    1. CIOBANU Dumitru & BAR Mary Violeta, 2013. "On The Prediction Of Exchange Rate Dollar/Euro With An Svm Model," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(2), pages 91-109.

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