Calculate the normalized Damerau-Levenshtein similarity between two strings.
Computes the normalized similarity based on the Damerau-Levenshtein metric, where the result is between
0.0 (completely different) and 1.0 (identical).
Usage
damerau_levenshtein_normalized_similarity(s1, s2, score_cutoff = 0)
Arguments
- s1
A string. The first input string.
- s2
A string. The second input string.
- score_cutoff
An optional minimum threshold for the normalized similarity. Defaults to 0.0.
Value
The normalized Damerau-Levenshtein similarity as a double.
Examples
damerau_levenshtein_normalized_similarity("abcdef", "abcfde")
#> [1] 0.6666667
damerau_levenshtein_normalized_similarity("abcdef", "abcfde", score_cutoff = 0.7)
#> [1] 0
