When and why are principal component scores a good tool for visualizing high-dimensional data?

Kristoffer Hellton, Magne Thoresen

Principal component analysis (PCA) is a popular dimension reduction technique often used to visualize high-dimensional data structures. In genomics, this can involve millions of va…