Hi,
I am trying to do PCA analysis on featurevector size 30×17600, where 30 is the number of images and 17600 is the number of coffecients.
How can I find how many principal componts are requied for corect represtntaion of data.
[M N]=size(feature_vector'); m=mean(feature_vector',2); m_adj = feature_vector' – repmat(double(m),1,N); [evectors, score, evalues] = princomp(feature_vector','econ');
How to find the revelent pricomponent for multiplying with mean adujsted data
feature_vector_final=feature_vector'*evectors;
Please help me.
Thanks in advance
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