Question

Explain the role of eigenvalues and eigenvectors in performing dimensionality reduction

Answer 1

Because the eigenvectors of the covariance matrix are orthogonal to each other, they can be used to reorient the data from the x and y axes to the axes represented by the principal components. You re-base the coordinate system for the dataset in a new space defined by its lines of greatest variance.