I am familiar with the general idea of PCA, that being that you can describe a system fairly accurately with a few basic vectors, but I am having trouble understanding the eigenvalue component here. I haven't even thought about eigenvalues in a few years at this point, but why is it the case that we can make statements here about which components have the largest eigenvectors?
Zc0in
By using PCA, we can know which movement is most important and which movement can be ignored. It is a good way to simplify our system and point out the important part.
I am familiar with the general idea of PCA, that being that you can describe a system fairly accurately with a few basic vectors, but I am having trouble understanding the eigenvalue component here. I haven't even thought about eigenvalues in a few years at this point, but why is it the case that we can make statements here about which components have the largest eigenvectors?
By using PCA, we can know which movement is most important and which movement can be ignored. It is a good way to simplify our system and point out the important part.