Nirvana Distance

This code computes the nirvana distance, or distance from "ideal" for a data augmentation.

This function will calculate the nirvana distance -- that is, the distance from "ideal" -- for a data augmentation.

Inputs:

C - an integer matrix of the confusion data for the augmentation under evaluation, with ground truth labels in rows and predicted labels in columns

F - a square matrix representing the distances between target classes in the original (non-augmented) data feature space, with order of classes as in C

Outputs:

ND - the computed nirvana distance

dc - a vector of values representing the distance component for each target class in the data set