The Wikipedia entry on Mahalanobis Distance contains this note:
Another intuitive description of Mahalanobis distance is that it is square root of the negative log likelihood. That is, the exponential of the negative square of the Mahalanobis distance will give you the likelihood of your data point belonging to (a presumed normal) distribution of the sample points you already have.
How/where is this shown? What does it mean (I guess it's not so intuitive...)?