How to label the training projections obtained by PCA to use for training SVM for classification? MATLAB

Question

I have a \"training set\" of images. I have formed the \'Eigenspace\'. Now i need to label the projections to train the SVM. The projections of \"face 1\" to the Eigenspace

Answer 1

It seems that you cannot train the SVM... This is an example on how you can train a Matlab SVM:

%Generate 100 positive points (the data is a circle)
r = sqrt(rand(100,1)); % radius
t = 2*pi*rand(100,1); % angle
dataP = [r.*cos(t), r.*sin(t)]; % points

%Generate 100 negative points (the data is a circle)
r2 = sqrt(3*rand(100,1)+1); % radius
t2 = 2*pi*rand(100,1); % angle
dataN = [r2.*cos(t2), r2.*sin(t2)]; % points

data3 = [dataN;dataP];
theclass = ones(200,1);
theclass(1:100) = -1; %First 100 points are negative

%Train the SVM
cl = svmtrain(data3,theclass,'Kernel_Function','rbf');