K. Pearson

Z-Eigenvector Residual Recovery for Dominant Fourth-Order Structure Missed by PCA

Principal component analysis is a second-order method, it selects covariance dominant directions. In local data models, however, a structural component may be rare or intermittent and therefore have modest variance but large fourth-order response. This note demonstrates a straightforward fourth-order enhancement based...