PCA Correlation or Covariance? A follow-up question
6316
PCA on correlation or covariance?
25410
What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
135047
Why does PCA maximize total variance of the projection?
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
121494
Invariance, covariance and symmetry
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
45866
How to infer correlations from correlations
152420
Robust PCA vs. robust Mahalanobis distance for outlier detection
7632
Interpretation of biplots in principal components analysis
67557
Imputation of missing values for PCA
154304
Do PCA affect different classification methods?
154261
PCA when the dimensionality is greater than the number of samples
143679
Is the sign of principal components meaningless?
79786
How would PCA help with a k-means clustering analysis?
17025
What exactly is called "principal component" in PCA?