Abstract
In this chapter, we discuss the support vector machine (SVM), an approach for classification that was developed in the computer science community in the 1990s and that has grown in popularity since then.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 Springer Science+Business Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). Support Vector Machines. In: An Introduction to Statistical Learning. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1418-1_9
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1418-1_9
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-0716-1417-4
Online ISBN: 978-1-0716-1418-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)