Suppose $V$ is a vector space. Given some vectors in $V$, we can add them with every nice property we might expect: associativity, an identity, inverses, and ...

eigenvectors for a Hermitian (symmetric) matrix, can be calculated from the eigenvalues ["EIGENVECTORS FROM EIGENVALUES" PETER B. DENTON, STEPHEN J. PARKE, TERENCE ...

Here are three examples that we will consider. In each case, we have pre-computed the eigenvalues and eigenvectors (check them yourself). \[ A = \begin{bmatrix} 2 & 2 ...

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

I'm only a couple months from wrapping up a masters degree in math. The program has been great and has catered to a cohort of educators who are all seeking to drastically improve math education in our ...

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 ...