Principal Component Analysis (PCA) is often used to convert a symmetric matrix to lower-dimensional one. Is there a similiar method for antisymmetric matrices?
As we known, the eigenvalues of antisymmetric is in pairs with $+$, $-$ respectively. Could I choose the $\max | \cdot |$ pairs to do PCA?
Is there good referrence recommented?
Thank you.