You can try the codes below.

function [result] = multisvm(TestSet,TrainingSet,GroupTrain)

%Models a given training set with a corresponding group vector and

%classifies a given test set using an SVM classifier according to a

%one vs. all relation.

%

%This code was written by Cody Neuburger [email protected]

%Florida Atlantic University, Florida USA

%This code was adapted and cleaned from Anand Mishra's multisvm function

%found at http://www.mathworks.com/matlabcentral/fileexchange/33170-multi-class-support-vector-machine/

u=unique(GroupTrain);

numClasses=length(u);

result = zeros(length(TestSet(:,1)),1);

%build models

for k=1:numClasses

%Vectorized statement that binarizes Group

%where 1 is the current class and 0 is all other classes

G1vAll=(GroupTrain==u(k));

models(k) = svmtrain(TrainingSet,G1vAll);

end

%classify test cases

for j=1:size(TestSet,1)

for k=1:numClasses

if(svmclassify(models(k),TestSet(j,:)))

break;

end

end

result(j) = k;

end

thank you its help , I get this error when i try to generate this code

Error using clabel (line 211)

Undefined function 'updateLabelTextProperties' for input arguments of type 'struct'.

Error in moteur (line 131)

clabel(cs,h)