Correlation and correlation structure (9) – Parallelizing Matrix Computation

Datasets have grown from large to massive, and so we increasingly find ourselves refactoring for readability and prioritizing computational efficiency (speed). The computing time for the ever-important sample covariance estimate of a dataset , with observations and variables is . Although a single covariance calculation for today’s large datasets is manageable still, it’s computationally prohibitive...