Machine Learning, Artificial Intelligence, Data Science.
to choose the eigenvectors to have unit length and orthogonal to each other. In our example, we have a repeated eigenvalue “-2”. It generates two different eigenvectors. However, this is not always the case — there are cases where repeated eigenvalues do not have more than one eigenvector.