Levenshtein Distance,判断字符串的相似性

时间:2023-03-10 07:12:30
Levenshtein Distance,判断字符串的相似性
        private int LevenshteinDistance(string s1,string s2,int maxValue)
{
if (s1 == null|| s1.Length == 0) return maxValue;
if (s2 == null|| s2.Length == 0) return maxValue;
if (s1.Trim() == s2.Trim()) return 0;
// create two work vectors of integer distances
int[] v0 = new int[s2.Length + 1];
int[] v1 = new int[s2.Length + 1];
int[] vtemp;
// initialize v0 (the previous row of distances)
// this row is A[0][i]: edit distance for an empty s
// the distance is just the number of characters to delete from t
for (int i = 0; i < v0.Length; i++)
{
v0[i] = i;
}
for (int i = 0; i < s1.Length; i++)
{
// calculate v1 (current row distances) from the previous row v0
// first element of v1 is A[i+1][0]
// edit distance is delete (i+1) chars from s to match empty t
v1[0] = i + 1;
// use formula to fill in the rest of the row
for (int j = 0; j < s2.Length; j++)
{
int cost = 1;
if (s1.Substring(i, 1) == s2.Substring(j, 1))
{
cost = 0;
}
v1[j + 1] = Math.Min(
v1[j] + 1, // Cost of insertion
Math.Min(
v0[j + 1] + 1, // Cost of remove
v0[j] + cost)); // Cost of substitution
}
// copy v1 (current row) to v0 (previous row) for next iteration
//System.arraycopy(v1, 0, v0, 0, v0.length);
// Flip references to current and previous row
vtemp = v0;
v0 = v1;
v1 = vtemp;
}
return Math.Min(v0[s2.Length],maxValue);
}