Why is K-Means not invariant to feature rotation?

K-Means is not rotation-invariant because Euclidean distance depends on coordinate axes alignment.

Rotating feature space changes axis-aligned distances even though true geometric relationships remain the same. Since K-Means relies on axis-aligned variance minimization, rotated datasets can yield different clustering results.