Using SVM for Classification
Using SVM for Classification
Author(s): Dumitru CiobanuSubject(s): Economy
Published by: Editura Universitară Danubius
Keywords: Support Vector Machines; optimal separating hyperplane; generalized separating hyperplane; nonlinear classifications; Iris dataset
Summary/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 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.
Journal: Acta Universitatis Danubius. Œconomica
- Issue Year: 8/2012
- Issue No: 5
- Page Range: 207-222
- Page Count: 16
- Language: English
