Introduction - If you have any usage issues, please Google them yourself
PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues of the covariance, the biggest feature is the first in one direction, from and so on.