PCA on a rank-deficient matrix using SVD of the covariance matrix
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
3589
How to reverse PCA and reconstruct original variables from several principal components?
152420
Robust PCA vs. robust Mahalanobis distance for outlier detection
26181
Using principal component analysis (PCA) for feature selection
79786
How would PCA help with a k-means clustering analysis?
154304
Do PCA affect different classification methods?
14465
"Normalizing" variables for SVD / PCA
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
156944
Is there a test/technique/method for comparing principal components decompositions between samples?
51254
How to project a new vector onto the PC space using kernel PCA?
155433
Examples of PCA where PCs with low variance are "useful"
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
7328
The proof of shrinking coefficients using ridge regression through "spectral decomposition"
118103
Does PCA's reconstruction error get reduced with more PCs being used?
55847
PCA demeaning the data