Clarification over PCA
6316
PCA on correlation or covariance?
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
29381
How to perform dimensionality reduction with PCA in R
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
14465
"Normalizing" variables for SVD / PCA
56670
The intuition behind generalized eigenvectors
3089
Why PCA of data by means of SVD of the data?
79763
What do empty (missing) values in the output of PCA or factor analysis mean in R?
116179
Is principal component regression (PCR) using principal component scores for regression?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
154899
Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
13787
Why log-transforming the data before performing principal component analysis?
79786
How would PCA help with a k-means clustering analysis?
16523
How to compute classification accuracy of PCA?