CSharp examples for System:Math Geometry
Compute the distance between two texts
using System;//w w w. jav a 2 s .co m namespace Simplic.ICR { /// <summary> /// Provides algorithm for comparing strings /// </summary> public class LevenshteinDistance { /// <summary> /// Get the distance between two string via Levenshtein. The algorithm does not care about case sensitive /// </summary> /// <param name="source">Original text</param> /// <param name="target">Text to compare with</param> /// <returns>Difference in a percentage value. 0% == strings are equal, 100% = they are completely different</returns> public static double ComputeDistancePercentage(string source, string target) { if ((source == null) || (target == null)) return 0.0; if ((source.Length == 0) || (target.Length == 0)) return 0.0; if (source == target) return 100.0; source = source.ToLower(); target = target.ToLower(); int stepsToSame = ComputeLevenshteinDistance(source, target); return (1.0 - ((double)stepsToSame / (double)Math.Max(source.Length, target.Length))) * 100; } /// <summary> /// Compute the distance between two texts /// </summary> /// <param name="original"></param> /// <param name="modified"></param> /// <returns></returns> public static int ComputeLevenshteinDistance(string source, string target) { if ((source == null) || (target == null)) return 0; if ((source.Length == 0) || (target.Length == 0)) return 0; if (source == target) return source.Length; int sourceWordCount = source.Length; int targetWordCount = target.Length; // Step 1 if (sourceWordCount == 0) return targetWordCount; if (targetWordCount == 0) return sourceWordCount; int[,] distance = new int[sourceWordCount + 1, targetWordCount + 1]; // Step 2 for (int i = 0; i <= sourceWordCount; distance[i, 0] = i++) ; for (int j = 0; j <= targetWordCount; distance[0, j] = j++) ; for (int i = 1; i <= sourceWordCount; i++) { for (int j = 1; j <= targetWordCount; j++) { // Step 3 int cost = (target[j - 1] == source[i - 1]) ? 0 : 1; // Step 4 distance[i, j] = Math.Min(Math.Min(distance[i - 1, j] + 1, distance[i, j - 1] + 1), distance[i - 1, j - 1] + cost); } } return distance[sourceWordCount, targetWordCount]; } } }