http://bugzilla.spamassassin.org/show_bug.cgi?id=2878





------- Additional Comments From [EMAIL PROTECTED]  2004-01-04 17:35 -------
I was a little sloppy when I wrote O(n^2), what I meant was, that if you have 
two texts M and N of lengths m and n, then the running time is O(nm), if both 
texts are of almost equal size it's something like O(nn) = O(n^2).

The Normalized Edit Distance (NED) (as opposed to Edit Distance (ED) aka 
Levenshtein Distance) has a best known implementation running time of O(m*n^2) 
which is worse than O(m*n) for ED.

I'm not sure if the NED is any advantage if you just assign the edits a weight 
of 1 each.

You could make a Edit Distance relative to length by just dividing the ED by 
the 
length of one of the strings or of the average length of both strings.




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