Acta Universitatis Danubius. Œconomica, Vol 8, No 5 (2012)

Using SVM for Classification

Dumitru Ciobanu

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.

References



Full Text: PDF

Refbacks

  • There are currently no refbacks.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.