Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
non zero vector v, Av= λv For the equation to hold good and λ to be an eigenvalue, the vector v has to be non-zero. To calculate the eigenvalue we will now use the identity matrix Quick note: Identity matrix is a matrix where all the diagonal elements are 1 and all the other elements are zero. Av=