Acta Universitatis Danubius. Œconomica, Vol 8, No 5 (2012)
Using SVM for Classification
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 paper I 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.
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