Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
is made of 0.97 parts Gene 1 and 0.242 parts Gene 2, in this example (source) Given this, we can figure out the contributions of each of the original features on the new features. In the above example, the eigenvector’s first element represents the contribution of Gene 1 (x-axis feature) and its