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hierarchical classification with SVM

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berkaoui sara
berkaoui sara am 17 Dez. 2014
Bearbeitet: berkaoui sara am 17 Dez. 2014
hello, I am trying to deal with a problem of classification with SVM, at the beginning I managed to solve the problem at the first level, ie classify my data into 2 classes (class1 and class2). now I want to continue the classification hierarchically ie f I want to separate the second class into two classes. is there a way to do it with Matlab SVM. thank you

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Stalin Samuel
Stalin Samuel am 17 Dez. 2014
yes you can.First process with primary data.then check the class.if result is class2 then go for another classification
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berkaoui sara
berkaoui sara am 17 Dez. 2014
Bearbeitet: berkaoui sara am 17 Dez. 2014
actually, im use the folowing code to classify my data into 2 classes
model=svmtrain(lab_train,train,'-t 2 -d 2 -c 7 -g 0.5');
[labeltrain,valtrain,prectrain]= svmpredict(lab_train,train,model);
[labeltest,valtest,prectest]= svmpredict(lab_test,test,model);
and i dont know how to use the result in a way that i take only the second class and classify it aigain in to 2 classes

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