One component in PCA is always the mean vector in two-dimensions but not three
39112
Does a correlation matrix of two variables always have the same eigenvectors?
46319
How to perform orthogonal regression (total least squares) via PCA?
79786
How would PCA help with a k-means clustering analysis?
14181
Can averaging all the variables be seen as a crude form of PCA?
85010
What're the differences between PCA and autoencoder?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
70917
What's the difference between principal component analysis and multidimensional scaling?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
77619
Generalizing variance to two dimensions
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
156166
PCA of non-Gaussian data
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
3589
How to reverse PCA and reconstruct original variables from several principal components?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
67557
Imputation of missing values for PCA
79763
What do empty (missing) values in the output of PCA or factor analysis mean in R?