What is the effect of PCA on distance concentration in high dimensions?

PCA reduces distance concentration by lowering dimensionality and improving variance structure.

In high dimensions, distances between points become similar, making nearest neighbor methods unreliable. PCA reduces dimensionality, increasing variance separation and restoring meaningful distance distributions.