Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
Include query object in evaluation.
The parameter k - the number of neighbors to retrieve.
Relative number of object to use in sampling.
Test whether two relation agree.
Vectors containing mean and standard deviation.