How to test a PCA+classifier model?
2632
PCA and the train/test split
25410
What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
39839
Doing principal component analysis or factor analysis on binary data
155433
Examples of PCA where PCs with low variance are "useful"
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
116179
Is principal component regression (PCR) using principal component scores for regression?
111170
Testing large dataset for normality - how and is it reliable?
138454
Determining sample size for ML algorithm validation
82178
Does it make sense to combine PCA and LDA?
14381
I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it?
101661
What should be the optimal parameters for Random Forest classifier?
55847
PCA demeaning the data
19145
Validation of machine learning algorithms implementation
84446
How to project a new vector onto PCA space?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
46319
How to perform orthogonal regression (total least squares) via PCA?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?