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GeezerVison is showing github.com — Java/DynamicProgramming/LevenshteinDistance.java at master · ichyo/Java Expand file tree/ Copy pathLevenshteinDistance.javaMore file actions 56 lines (45 loc) · 1.6 KB / Copy pathLevenshteinDistance.javaFile metadata and controls56 lines (45 loc) · 1.6 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 package DynamicProgramming; /** * @author Kshitij VERMA (github.com/kv19971) * LEVENSHTEIN DISTANCE dyamic programming implementation to show the difference between two strings (https://en.wikipedia.org/wiki/Levenshtein_distance) */ public class LevenshteinDistance { private static int minimum(int a, int b, int c) { if (a < b && a < c) { return a; } else if (b < a && b < c) { return b; } else { return c; } } private static int calculate_distance(String a, String b) { int len_a = a.length() + 1; int len_b = b.length() + 1; int[][] distance_mat = new int[len_a][len_b]; for (int i = 0; i < len_a; i++) { distance_mat[i][0] = i; } for (int j = 0; j < len_b; j++) { distance_mat[0][j] = j; } for (int i = 0; i < len_a; i++) { for (int j = 0; j < len_b; j++) { int cost; if (a.charAt(i) == b.charAt(j)) { cost = 0; } else { cost = 1; } distance_mat[i][j] = minimum(distance_mat[i - 1][j], distance_mat[i - 1][j - 1], distance_mat[i][j - 1]) + cost; } } return distance_mat[len_a - 1][len_b - 1]; } public static void main(String[] args) { String a = ""; // enter your string here String b = ""; // enter your string here System.out.print("Levenshtein distance between " + a + " and " + b + " is: "); System.out.println(calculate_distance(a, b)); } } |
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