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An Output Grouping Based Approach to Multiclass Classification Using Support Vector Machines

  • Xuan ZhaoEmail author
  • Steven Guan
  • Ka Lok Man
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 393)

Abstract

Support Vector Machine (SVM) classifiers are binary classifiers in nature, which have to be coupled/assembled to solve multi-class problems. One-Versus-Rest (1-v-r) is a fast and accurate method for SVM multiclass classification. This paper investigates the effect of output grouping on multiclass classification with SVM and offers an even faster version of 1-v-r based on our output grouping algorithm.

Keywords

Multiclass classification Support vector machine Decomposition method Output grouping 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Xi’an Jiaotong-Liverpool UniversitySuzhouChina

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