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  • 标题:Using SVM for Classification
  • 其他标题:Using SVM for Classification
  • 本地全文:下载
  • 作者:Ciobanu, Dumitru
  • 期刊名称:Acta Universitatis Danubius. Oeconomica
  • 印刷版ISSN:2065-0175
  • 电子版ISSN:2067-340X
  • 出版年度:2012
  • 卷号:8
  • 期号:5
  • 语种:English
  • 出版社:Danubius University
  • 摘要: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.
  • 关键词:Support Vector Machines; optimal separating hyperplane; generalized separating hyperplane; nonlinear classifications; Iris dataset
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