How to use PCA algorithm for feature reduction...?
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i am new at this method and i just want to get a solution with in a short time...so please help me how can i implement this method effectively.. for example, we have 10 sample set each having 10 images and each image having 1*576 so,we have extracted 10 sample set feature size i.e 100*576 so i just want to reduce it 576 to 250. i applied [coeff,score,latent,tsquared,mu]=pca(x,'Numcomponents',inf); but i did not get the right output that means reduced feature, it is not working and getting trouble to select which one is the final output from this method..
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Nidhi
il 12 Lug 2022
A similar question was asked and the answer to the question is given below in this link:
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