📄 getshapestatistics.m
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function [MeanShape,tEigenvectors,tEigenValues]=GetShapeStatistics(Xa,ExplainPercent);%function [MeanShape,tEigenvectors,tEigenValues]=GetShapeStatistics(Xa,ExplainPercent);MeanShape=(sum(Xa'))'/size(Xa,2);%DX=Xa-MeanShape*ones(1,size(Xa,2));%CovMatrix=zeros(size(Xa,1),size(Xa,1));%for ind1=1:size(Xa,2),% CovMatrix=CovMatrix+DX(:,ind1)*DX(:,ind1)';%end%CovMatrix=CovMatrix/size(Xa,2);%using the function cov (see help cov)CovMatrix=cov(Xa'); %Xa'--> row_i=observations_i col_j=variables_j (variable is the x value)[V,D]=eig(CovMatrix);[PC, LATENT, EXPLAINED] = pcacov(CovMatrix);higher=find(cumsum(EXPLAINED)>=ExplainPercent*100);tEigenvectors=PC(:,1:higher(1));tEigenValues=LATENT(1:higher(1));
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