Principal Component Analysis - Why Use Eigenvectors of the covariance matrix?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
46319
How to perform orthogonal regression (total least squares) via PCA?
52260
Diagonalization and eigenvalues
70245
Why is the eigenvector in PCA taken to be unit norm?
6316
PCA on correlation or covariance?
13787
Why log-transforming the data before performing principal component analysis?
109471
The eigenvectors of the transpose operator
37836
Generalized eigenvectors in MATLAB?
144080
Singular value decomposition of column & row vectors
21885
Why is the determinant useful when finding eigenvectors?
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
14465
"Normalizing" variables for SVD / PCA
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
156868
Why is finding $M$ eigenvectors on smaller matrix valid?
13640
What is the importance of eigenvalues/eigenvectors?
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
29381
How to perform dimensionality reduction with PCA in R