The covariance matrix is positive semi-definite.

Thus, we can use linalg.eigh to calculate the eigenvector matrix, and we
can use the fact that the inverse of the eigenvector matrix is the same
as the transpose in this case.

Conflicts:
	delta.py
Added more distance measures