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GeezerVison is showing github.com — Java/Dynamic Programming/LevenshteinDistance.java at master · allel/Java Expand file tree/ Copy pathLevenshteinDistance.javaMore file actions 55 lines (47 loc) · 1.28 KB / Copy pathLevenshteinDistance.javaFile metadata and controls55 lines (47 loc) · 1.28 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 /** * * @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; i < 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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