Linear Algebra, Matrix, Matrix Decomposition, Eigenvectors, Pca.
is known, then AᵀA which is symmetric can be written; AᵀA=SᵀQᵀQS=SᵀS=S² 2. Similarity Transformation If there exists a matrices Then, A and B share the same eigenvalues and corresponding eigenvectors v and u are very much related (u=Xv). SVD is another big part within Principal Component Analysis.