- At the end: Calculate the “average” value for the array.
- Initialize a counter with zero,
and for each of the array’s entries:
add the entry’s difference to “average” to the counter.
With some modifications you can get Shannon’s entropy:
rename “average” to “entropy”
(float) entropy = 0
for i in the array[256]:Counts do
(float)p = Counts[i] / filesize
if (p > 0) entropy = entropy - p*lg(p) // lgN is the logarithm with base 2
Edit:
As Wesley mentioned, we must divide entropy by 8 in order to adjust it in the range 0 . . 1 (or alternatively, we can use the logarithmic base 256).