SVM classification for healthy a

조회 수: 2 (최근 30일)
Vania krm
Vania krm 2019년 5월 17일
segmented_features=sFeat;
%Feature reduction using PCA
[coeff,G,latent]=pca(segmented_features); %score==G mxn
%traindata
xdata=G(1:60,:);
group_label=label(1:60,:);
group_label=double(group_label);
%testdata
xtdata=G(61:100,:);
groupt_label=double(label(61:100,:));
%SVM
svmStruct1 = svmtrain(xdata,group_label);
species = svmclassify(svmStruct1,xtdata);
Why in this code my SVM does not work and I have these errors:
Reference to non-existent field 'SupportVectors'.
Error in svmclassify (line 60)
if size(sample,2)~=size(svmStruct.SupportVectors,2)
Error in Both3march (line 17)
species = svmclassify(svmStruct1,xtdata);
when I check the svmStruct1= number of classes are recognised 60 instead of 2! can any one help me.

답변 (0개)

카테고리

Help CenterFile Exchange에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

태그

제품

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by