/// <summary>
/// gets the similarity of the two strings using Monge Elkan.
/// </summary>
/// <param name="firstWord"></param>
/// <param name="secondWord"></param>
/// <returns>a value between 0-1 of the similarity</returns>
public override double GetSimilarity(string firstWord, string secondWord)
{
if ((firstWord != null) && (secondWord != null))
{
Collection <string> firstTokens = tokeniser.Tokenize(firstWord);
Collection <string> secondTokens = tokeniser.Tokenize(secondWord);
double sumMatches = 0.0;
for (int i = 0; i < firstTokens.Count; i++)
{
string sToken = firstTokens[i];
double maxFound = 0.0;
for (int j = 0; j < secondTokens.Count; j++)
{
string tToken = secondTokens[j];
double found = internalStringMetric.GetSimilarity(sToken, tToken);
if (found > maxFound)
{
maxFound = found;
}
}
sumMatches += maxFound;
}
return(sumMatches / firstTokens.Count);
}
return(defaultMismatchScore);
}
public override double GetSimilarity(string firstWord, string secondWord)
{
if (firstWord == null || secondWord == null)
{
return(DefaultMismatchScore);
}
Collection <string> collection = Tokeniser.Tokenize(firstWord);
Collection <string> collection2 = Tokeniser.Tokenize(secondWord);
double num = 0.0;
for (int i = 0; i < collection.Count; i++)
{
string str = collection[i];
double num3 = 0.0;
for (int j = 0; j < collection2.Count; j++)
{
string str2 = collection2[j];
double similarity = _internalStringMetric.GetSimilarity(str, str2);
if (similarity > num3)
{
num3 = similarity;
}
}
num += num3;
}
return(num / collection.Count);
}
/// <summary>
/// gets the similarity measure of the JaroWinkler metric for the given strings.
/// </summary>
/// <param name="firstWord"></param>
/// <param name="secondWord"></param>
/// <returns>0-1 similarity measure of the JaroWinkler metric</returns>
public override double GetSimilarity(string firstWord, string secondWord)
{
if ((firstWord != null) && (secondWord != null))
{
double dist = jaroStringMetric.GetSimilarity(firstWord, secondWord);
int prefixLength = GetPrefixLength(firstWord, secondWord);
return(dist + prefixLength * prefixAdustmentScale * (1.0 - dist));
}
return(0.0);
}
public override double GetSimilarity(string firstWord, string secondWord)
{
if (firstWord != null && secondWord != null)
{
double similarity = _jaroStringMetric.GetSimilarity(firstWord, secondWord);
int prefixLength = GetPrefixLength(firstWord, secondWord);
return(similarity + prefixLength * PrefixAdustmentScale * (1.0 - similarity));
}
return(DefaultMismatchScore);
}
public static StringDistanceResult MeasureDistance(this AbstractStringMetric metric, string a, string b)
{
return(new StringDistanceResult
{
Similarity = metric.GetSimilarity(a, b),
UnnormalizedSimilarity = metric.GetUnnormalisedSimilarity(a, b),
MetricAlgorithm = metric,
SimilarityDescription = metric.GetSimilarityExplained(a, b),
ShortDescription = metric.ShortDescriptionString,
LongDescription = metric.LongDescriptionString
});
}