How does PCA impact variance retention in hierarchical datasets?

PCA may flatten hierarchical structure by prioritizing global variance over local structure.

In hierarchical datasets (e.g., nested clusters), PCA focuses on global variance directions, potentially ignoring local cluster structure. This can lead to loss of hierarchical relationships even if overall variance is preserved.