PCA vs SVD - understanding difference and preference of SVD over PCA
114794
Is there any advantage of SVD over PCA?
152395
Random matrix theory impact on covariance matrix analysis
14465
"Normalizing" variables for SVD / PCA
139690
Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
87635
Why cannot I obtain a valid SVD of X via eigenvalue decomposition of XX' and X'X?
101622
Choosing number of principal components to retain
82178
Does it make sense to combine PCA and LDA?
49582
How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
2632
PCA and the train/test split
42447
SVD: How to find the columnvector of U corresponding to a singular value equal to zero
143724
Is it possible to use kernel PCA for feature selection?
107608
Differentiation in support vector machine
6316
PCA on correlation or covariance?
3589
How to reverse PCA and reconstruct original variables from several principal components?
154304
Do PCA affect different classification methods?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
126726
PCA, LDA, CCA, and PLS