/**
* 相似度
* @param str1
* @param str2
*/
public static float levenshtein(String str1,String str2) {
int len1 = str1.length();
int len2 = str2.length();
int[][] dif = new int[len1 + 1][len2 + 1];
for (int a = 0; a <= len1; a++) {
dif[a][0] = a;
}
for (int a = 0; a <= len2; a++) {
dif[0][a] = a;
}
int temp;
for (int i = 1; i <= len1; i++) {
for (int j = 1; j <= len2; j++) {
if (str1.charAt(i - 1) == str2.charAt(j - 1)) {
temp = 0;
} else {
temp = 1;
}
dif[i][j] = min(dif[i - 1][j - 1] + temp, dif[i][j - 1] + 1,
dif[i - 1][j] + 1);
}
}
logger.debug("字符串[{}]与[{}]比较",str1,str2);
logger.debug("差异步骤:"+dif[len1][len2]);
float similarity =1 - (float) dif[len1][len2] / Math.max(str1.length(), str2.length());
logger.debug("相似度:"+similarity);
return similarity;
}
private static int min(int... is) {
int min = Integer.MAX_VALUE;
for (int i : is) {
if (min > i) {
min = i;
}
}
return min;
}