Linear Algebra, Svd, Eigenvectors, Eigenvalue, Data Science.
values. It's clearly visible that the maximum degrees are captured in the first 100 and then the curve sinks. Thus SVD with Eigenvalues and Eigenvectors provides a powerful way of reducing the data size. It can be applicable to many use cases. This forms the basis for PCA. Consider a recommendation