Linear Algebra, Randomization, Singular Values, Eigenvectors, Thoughts And Theory.
matrix is a different study in its own right, hence I am omitting the details here. Now, the projected matrix T approximates the columns space of the original data matrix S almost surely (thanks to the Johnson-Lindenstrauss lemma). So, if we want to find a set of orthonormal bases of S it is enough