public static double ApproximatelyEquals(this string firstWord, string secondWord, SimMetricType simMetricType = SimMetricType.Levenstein)
{
switch (simMetricType)
{
case SimMetricType.BlockDistance:
var sim2 = new BlockDistance();
return(sim2.GetSimilarity(firstWord, secondWord));
case SimMetricType.ChapmanLengthDeviation:
var sim3 = new ChapmanLengthDeviation();
return(sim3.GetSimilarity(firstWord, secondWord));
case SimMetricType.CosineSimilarity:
var sim4 = new CosineSimilarity();
return(sim4.GetSimilarity(firstWord, secondWord));
case SimMetricType.DiceSimilarity:
var sim5 = new DiceSimilarity();
return(sim5.GetSimilarity(firstWord, secondWord));
case SimMetricType.EuclideanDistance:
var sim6 = new EuclideanDistance();
return(sim6.GetSimilarity(firstWord, secondWord));
case SimMetricType.JaccardSimilarity:
var sim7 = new JaccardSimilarity();
return(sim7.GetSimilarity(firstWord, secondWord));
case SimMetricType.Jaro:
var sim8 = new Jaro();
return(sim8.GetSimilarity(firstWord, secondWord));
case SimMetricType.JaroWinkler:
var sim9 = new JaroWinkler();
return(sim9.GetSimilarity(firstWord, secondWord));
case SimMetricType.MatchingCoefficient:
var sim10 = new MatchingCoefficient();
return(sim10.GetSimilarity(firstWord, secondWord));
case SimMetricType.MongeElkan:
var sim11 = new MongeElkan();
return(sim11.GetSimilarity(firstWord, secondWord));
case SimMetricType.NeedlemanWunch:
var sim12 = new NeedlemanWunch();
return(sim12.GetSimilarity(firstWord, secondWord));
case SimMetricType.OverlapCoefficient:
var sim13 = new OverlapCoefficient();
return(sim13.GetSimilarity(firstWord, secondWord));
case SimMetricType.QGramsDistance:
var sim14 = new QGramsDistance();
return(sim14.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWaterman:
var sim15 = new SmithWaterman();
return(sim15.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWatermanGotoh:
var sim16 = new SmithWatermanGotoh();
return(sim16.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWatermanGotohWindowedAffine:
var sim17 = new SmithWatermanGotohWindowedAffine();
return(sim17.GetSimilarity(firstWord, secondWord));
case SimMetricType.ChapmanMeanLength:
var sim18 = new ChapmanMeanLength();
return(sim18.GetSimilarity(firstWord, secondWord));
default:
var sim1 = new Levenstein();
return(sim1.GetSimilarity(firstWord, secondWord));
}
}
public double GetSimilarity(string str1, string str2, string type)
{
IStringMetric stringMetric;
switch (type)
{
case AlgorithmTypes.BlockDistance:
stringMetric = new BlockDistance();
break;
case AlgorithmTypes.ChapmanLengthDeviation:
stringMetric = new ChapmanLengthDeviation();
break;
case AlgorithmTypes.ChapmanMeanLength:
stringMetric = new ChapmanMeanLength();
break;
case AlgorithmTypes.CosineSimilarity:
stringMetric = new CosineSimilarity();
break;
case AlgorithmTypes.DiceSimilarity:
stringMetric = new DiceSimilarity();
break;
case AlgorithmTypes.EuclideanDistance:
stringMetric = new EuclideanDistance();
break;
case AlgorithmTypes.JaccardSimilarity:
stringMetric = new JaccardSimilarity();
break;
case AlgorithmTypes.Jaro:
stringMetric = new Jaro();
break;
case AlgorithmTypes.JaroWinkler:
stringMetric = new JaroWinkler();
break;
case AlgorithmTypes.Levenstein:
stringMetric = new Levenstein();
break;
case AlgorithmTypes.MatchingCoefficient:
stringMetric = new MatchingCoefficient();
break;
case AlgorithmTypes.MongeElkan:
stringMetric = new MongeElkan();
break;
case AlgorithmTypes.NeedlemanWunch:
stringMetric = new NeedlemanWunch();
break;
case AlgorithmTypes.OverlapCoefficient:
stringMetric = new OverlapCoefficient();
break;
case AlgorithmTypes.QGramsDistance:
stringMetric = new QGramsDistance();
break;
case AlgorithmTypes.SmithWaterman:
stringMetric = new SmithWaterman();
break;
case AlgorithmTypes.SmithWatermanGotoh:
stringMetric = new SmithWatermanGotoh();
break;
case AlgorithmTypes.SmithWatermanGotohWindowedAffine:
stringMetric = new SmithWatermanGotohWindowedAffine();
break;
default:
stringMetric = new SmithWatermanGotoh();
break;
}
var similarity = stringMetric.GetSimilarity(str1.Trim(), str2.Trim());
return(similarity);
}
private void StringCompareTest(string input, string[] testCases)
{
Debug.WriteLine("Dice Coefficient for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer dice = new DiceCoefficent();
double diceValue = dice.Compare(input, name);
Debug.WriteLine("\t{0} against {1}", diceValue.ToString("###,###.00000"), name);
}
Debug.WriteLine("");
Debug.WriteLine("Jaccard Coefficient for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer jaccard = new Jaccard();
double jaccardValue = jaccard.Compare(input, name);
Debug.WriteLine("\t{0} against {1}", jaccardValue.ToString("###,###.00000"), name);
}
Debug.WriteLine("");
Debug.WriteLine("ExtendedJaccard Coefficient for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer exjaccard = new ExtendedJaccard();
double exjaccardValue = exjaccard.Compare(input, name);
Debug.WriteLine("\t{0} against {1}", exjaccardValue.ToString("###,###.00000"), name);
}
Debug.WriteLine("");
Debug.WriteLine("DamerauLevenshteinDistance for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer lev = new DamerauLevenshteinDistance();
var levenStein = lev.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", levenStein, name);
}
Debug.WriteLine("");
Debug.WriteLine("JaroWinkler for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer jw = new JaroWinkler();
var jwValue = jw.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", jwValue, name);
}
Debug.WriteLine("");
Debug.WriteLine("Monge-Elkan for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer me = new MongeElkan();
var meValue = me.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", meValue, name);
}
Debug.WriteLine("");
Debug.WriteLine("NGramDistance(2) for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer ngram2 = new NGramDistance();
(ngram2 as NGramDistance).NGramLength = 2;
var ngramValue2 = ngram2.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", ngramValue2, name);
}
Debug.WriteLine("");
Debug.WriteLine("SmithWaterman for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer sw = new SmithWaterman();
var swValue = sw.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", swValue, name);
}
Debug.WriteLine("");
Debug.WriteLine("Extended Editex for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer edx = new ExtendedEditex();
var edxValue = edx.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", edxValue, name);
}
Debug.WriteLine("");
Debug.WriteLine("Longest Common Subsequence for {0}:", input);
foreach (var name in testCases)
{
StringFuzzyComparer lcs = new LongestCommonSubsequence();
var lcsValue = lcs.Compare(input, name);
Debug.WriteLine("\t{0}, against {1}", lcsValue.ToString("###,###.00000"), name);
}
Debug.WriteLine("");
}
//[SetUp]
public MongeElkanUnitTests()
{
LoadData();
_myMongeElkan = new MongeElkan();
}
