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
});
}
/// <summary>
/// constructor taking metric to use
/// </summary>
/// <param name="metricToUse">the string metric to use</param>
public MongeElkan(AbstractStringMetric metricToUse)
{
tokeniser = new TokeniserWhitespace();
internalStringMetric = metricToUse;
}
/// <summary>
/// constructor taking a tokeniser and string metric to use
/// </summary>
/// <param name="tokeniserToUse">the tokeniser to use should a different tokeniser be required</param>
/// <param name="metricToUse">the string metric to use</param>
public MongeElkan(ITokeniser tokeniserToUse, AbstractStringMetric metricToUse)
{
tokeniser = tokeniserToUse;
internalStringMetric = metricToUse;
}
public MongeElkan(ITokeniser tokeniserToUse, AbstractStringMetric metricToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokeniser = tokeniserToUse;
this.internalStringMetric = metricToUse;
}
public MongeElkan(ITokeniser tokeniserToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokeniser = tokeniserToUse;
this.internalStringMetric = new SmithWatermanGotoh();
}
public MongeElkan(AbstractStringMetric metricToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokeniser = new TokeniserWhitespace();
this.internalStringMetric = metricToUse;
}