文章基本信息

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