Spectral

and eigenvectors are key concepts in linear algebra that also play a crucial role in data science and machine learning. Previously, we discussed how dimensionality reduction may be performed with eigenvalues and eigenvectors...

Introduction can we discover latent groups of patients in a big cohort? How can we discover similarities amongst patients that transcend the well-known comorbidity clusters related to specific diseases? And more importantly, how can...