PCA before and after standardization gives very different explained_variance_ratio_
6316
PCA on correlation or covariance?
114794
Is there any advantage of SVD over PCA?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
17025
What exactly is called "principal component" in PCA?
97435
Reversing PCA back to the original variables
112118
Meaning of 2.04 standard errors? Significantly different means when confidence intervals widely overlap?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
13787
Why log-transforming the data before performing principal component analysis?
2632
PCA and the train/test split
146190
Question about the relationship between the variance of residuals and variances of the data points
43782
When estimating variance, why do unbiased estimators divide by n-1 yet maximum likelihood estimates divide by n?
50490
Why do the R functions 'princomp' and 'prcomp' give different eigenvalues?
1675
Breusch–Pagan test for heteroscedasticity contradicts White's test?
155433
Examples of PCA where PCs with low variance are "useful"
14381
I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
129608
Question on the choice of boundary in the CUSUM test when we make some resampling