Facedetection, Eigenvectors, Eigenvalue, Artificial Intelligence, Computer Vision.
eigenvector retains after reducing a matrix to a vector ”— in here lies the definition of eigenvalues and eigenvectors. For example, on a scale of 0 to 1, if we have an eigenvalue of 0.85, this simply means that the eigenvector was able to retain 85 percent worth of information from the matrix.