How normal should variables be to run PCA?
21224
Applying PCA to data that fail a normality test
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
70245
Why is the eigenvector in PCA taken to be unit norm?
14181
Can averaging all the variables be seen as a crude form of PCA?
154899
Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
154757
One component in PCA is always the mean vector in two-dimensions but not three
114794
Is there any advantage of SVD over PCA?
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
84446
How to project a new vector onto PCA space?
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
143724
Is it possible to use kernel PCA for feature selection?
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
14381
I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it?
51254
How to project a new vector onto the PC space using kernel PCA?
112934
Is PCA followed by a rotation (such as varimax) still PCA?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
137103
Random Gaussian Variables