Can someone explain the simple intution between Principal component 1, 2, ... etc in PCA?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
46319
How to perform orthogonal regression (total least squares) via PCA?
13787
Why log-transforming the data before performing principal component analysis?
88975
I need an intuitive explanation of eigenvalues and eigenvectors
45858
How to compute varimax-rotated principal components in R?
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
93325
Difference In Eigenvectors
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
116179
Is principal component regression (PCR) using principal component scores for regression?
85010
What're the differences between PCA and autoencoder?
3589
How to reverse PCA and reconstruct original variables from several principal components?
70917
What's the difference between principal component analysis and multidimensional scaling?
2632
PCA and the train/test split
153372
Characterization of positive definite matrix with principal minors
135047
Why does PCA maximize total variance of the projection?
143908
What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
67557
Imputation of missing values for PCA