Eigenvectors, Data Science, Analytics, Principal Component, Graph.
variable having variance with other variables (x with y). So a 2x2 covariance matrix would look like this: Decompose the covariance matrix into eigenvectors Once covariance matrix is generated, we will decompose it to find eigenvectors and eigenvalues. Why? Because eigenvalues and eigenvectors