Using SVM for Classification

Support Vector Machines (SVMs)have found many applications in various fields. They have been introduced for classification problems and extended to regression. In this paperI 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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Year of publication:	2012
Authors:	Ciobanu, Dumitru
Published in:	Acta Universitatis Danubius. OEconomica. - Facultatea de Ştiinţe Economice. - 2012, 5(5), p. 209-224
Publisher:	Facultatea de Ştiinţe Economice
Subject:	Support Vector Machines \| optimal separating hyperplane \| generalized separating hyperplane \| nonlinear classifications \| Iris dataset

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Extent:	application/pdf
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010592596