Comparison of Discriminant Criterion Based on Support Vectors
Abstract：In this paper,based on classical linear discriminant analysis（LDA） and soft-margin support vector machine（C-SVM）,discriminant analysis via support vectors（SVDA） and margin maximizing discriminant analysis via support vectors（MSVDA） are presented.Experiments on Wine data and Iris data taken from UCI database are performed to test and evaluate the effectiveness and practicality of SVDA and MSVDA for classification problems.The results show that,SVDA and MSVDA are overall superior than LDA.
Keywords：linear discriminant analysissoft-margin support vector machinedimension reduction
Publication Date：2011-01-01
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：4( 5-8 )