PCA returns the same pair of principal axes for completely different 2D datasets
39112
Does a correlation matrix of two variables always have the same eigenvectors?
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
150393
Rotating a new matrix into the same basis as another using SVD
143679
Is the sign of principal components meaningless?
82178
Does it make sense to combine PCA and LDA?
4244
How to compute PCA scores from eigendecomposition of the covariance matrix?
78385
Why with two classes, LDA gives only one dimension?
39839
Doing principal component analysis or factor analysis on binary data
14465
"Normalizing" variables for SVD / PCA
146238
How to deal with a data-set having all the samples with every feature-point almost similar?
154304
Do PCA affect different classification methods?
3589
How to reverse PCA and reconstruct original variables from several principal components?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
126726
PCA, LDA, CCA, and PLS
45858
How to compute varimax-rotated principal components in R?
55662
How to use principal components analysis to select variables for regression?
114794
Is there any advantage of SVD over PCA?