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Support Vector Machines

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Data Mining with Rattle and R

Part of the book series: Use R ((USE R))

Abstract

A support vector machine (SVM) searches for so-called support vectors which are observations that are found to lie at the edge of an area in space which presents a boundary between one of these classes of observations (e.g., the squares) and another class of observations (e.g., the circles). In the terminology of SVM we talk about the space between these two regions as the margin between the classes.

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Correspondence to Graham Williams .

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© 2011 Springer Science+Business Media, LLC

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Williams, G. (2011). Support Vector Machines. In: Data Mining with Rattle and R. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9890-3_14

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