Finally figured it out a couple of days ago, coeff are the linear combination of each eigen vector and score is the projected points on my new prinicap components :)
PCA function matrices .
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Hey,
I'm really struggling to understand what these terms mean inside matlab [coeff,score,latent,tsquared,explained,mu] , I consider myself to understand PCA in general and in theory (perhaps im still far far away from that), slightly far from grasping it mathemtically, but i have really spent hours and days in an attempt to understand it so i can use it in my upcoming grad project
I'm stuck now at this point where what i understood about PCA couldn't be connected to what's on matlab and how the implementation actually works
I do only understand the explained matrix where it's the total variation of each PC we got, the ones presented in the scree plot
Would really appreciate any help with other matrices
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