Question about PCA: how are PC scores generated using PC eigenvectors?
4244
How to compute PCA scores from eigendecomposition of the covariance matrix?
36609
Creating a single index from several principal components or factors retained from PCA/FA
14465
"Normalizing" variables for SVD / PCA
88975
I need an intuitive explanation of eigenvalues and eigenvectors
90064
What does it mean when Mathematica returns a zero "eigenvector"?
21885
Why is the determinant useful when finding eigenvectors?
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?
45858
How to compute varimax-rotated principal components in R?
102166
What is the relation between rank of a matrix, its eigenvalues and eigenvectors
118103
Does PCA's reconstruction error get reduced with more PCs being used?
158716
Cholesky versus eigendecomposition for drawing samples from a multivariate normal distribution
25410
What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
3544
Eigenvectors of a circulant matrix
3589
How to reverse PCA and reconstruct original variables from several principal components?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
101622
Choosing number of principal components to retain
70245
Why is the eigenvector in PCA taken to be unit norm?