Is it possible that PCA works better without data scaling?
6316
PCA on correlation or covariance?
51084
Won't highly-correlated variables in random forest distort accuracy and feature-selection?
41608
Weighted principal components analysis
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
156944
Is there a test/technique/method for comparing principal components decompositions between samples?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
70917
What's the difference between principal component analysis and multidimensional scaling?
67557
Imputation of missing values for PCA
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
14381
I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it?
9663
Is it a good practice to always scale/normalize data for machine learning?
154304
Do PCA affect different classification methods?
112934
Is PCA followed by a rotation (such as varimax) still PCA?
42297
Minimum sample size for PCA or FA when the main goal is to estimate only few components?
154261
PCA when the dimensionality is greater than the number of samples
155987
Canonical Correlation analysis without raw data (algebra of CCA)