Does one need to standardize data before PCA even if all the variables are measured in the same units?
6316
PCA on correlation or covariance?
17025
What exactly is called "principal component" in PCA?
50121
How to combine measurement error with statistic error
86082
Interpreting PCA scores
143679
Is the sign of principal components meaningless?
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
84446
How to project a new vector onto PCA space?
79763
What do empty (missing) values in the output of PCA or factor analysis mean in R?
25535
Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
8703
How to apply standardization/normalization to train- and testset if prediction is the goal?
91448
Should I normalize all data prior feeding the neural network models?
135047
Why does PCA maximize total variance of the projection?
9663
Is it a good practice to always scale/normalize data for machine learning?
2632
PCA and the train/test split
101622
Choosing number of principal components to retain
134716
Simultaneous fit to three datasets with measurement errors using different models but same parameters