Network analysis begins with data that describes the set of relationships among the members of a system. The goal of analysis is to obtain from the low-level relational data a higher-level description ...

However, it's possible to compute eigenvalues and eigenvectors indirectly using singular value decomposition (SVD). If you have a matrix A and apply singular value decomposition, the three results are ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...