private void CreateSimilarityMatrix()
{
if (!_projectService.AreAllVarietiesCompared)
{
return;
}
var optics = new Optics <Variety>(variety => variety.VarietyPairs.Select(pair =>
{
double score = 0;
switch (_similarityMetric)
{
case SimilarityMetric.Lexical:
score = pair.LexicalSimilarityScore;
break;
case SimilarityMetric.Phonetic:
score = pair.PhoneticSimilarityScore;
break;
}
return(Tuple.Create(pair.GetOtherVariety(variety), 1.0 - score));
}).Concat(Tuple.Create(variety, 0.0)), 2);
_modelVarieties.Clear();
_modelVarieties.AddRange(optics.ClusterOrder(_projectService.Project.Varieties).Select(oe => oe.DataObject));
SimilarityMatrixVarietyViewModel[] vms = _modelVarieties.Select(v => new SimilarityMatrixVarietyViewModel(_similarityMetric, _modelVarieties, v)).ToArray();
Varieties = new ReadOnlyList <SimilarityMatrixVarietyViewModel>(vms);
IsEmpty = false;
}
private void WriteOutput(TextWriter outputWriter)
{
var optics = new Optics <Variety>(variety => variety.VarietyPairs
.Select(pair => Tuple.Create(pair.GetOtherVariety(variety), 1.0 - pair.LexicalSimilarityScore))
.Concat(Tuple.Create(variety, 0.0)), 2);
Variety[] varieties = optics.ClusterOrder(Project.Varieties).Select(e => e.DataObject).ToArray();
foreach (Variety variety in varieties)
{
outputWriter.Write("\t");
outputWriter.Write(variety.Name);
}
outputWriter.WriteLine();
for (int i = 0; i < varieties.Length; i++)
{
outputWriter.Write(varieties[i].Name);
int len = IsHalf ? i + 1 : varieties.Length;
for (int j = 0; j < len; j++)
{
outputWriter.Write("\t");
if (i == j)
{
outputWriter.Write(IsDistance ? "0.00" : "1.00");
}
else
{
VarietyPair varietyPair = varieties[i].VarietyPairs[varieties[j]];
double score = IsDistance ? 1.0 - varietyPair.LexicalSimilarityScore : varietyPair.LexicalSimilarityScore;
outputWriter.Write("{0:0.00}", score);
}
}
outputWriter.WriteLine();
}
}
public void Export(Stream stream, CogProject project, SimilarityMetric similarityMetric)
{
var optics = new Optics <Variety>(variety => variety.VarietyPairs.Select(pair =>
{
double score = 0;
switch (similarityMetric)
{
case SimilarityMetric.Lexical:
score = pair.LexicalSimilarityScore;
break;
case SimilarityMetric.Phonetic:
score = pair.PhoneticSimilarityScore;
break;
}
return(Tuple.Create(pair.GetOtherVariety(variety), 1.0 - score));
}).Concat(Tuple.Create(variety, 0.0)), 2);
Variety[] varietyArray = optics.ClusterOrder(project.Varieties).Select(oe => oe.DataObject).ToArray();
using (var writer = new StreamWriter(new NonClosingStreamWrapper(stream)))
{
foreach (Variety variety in varietyArray)
{
writer.Write("\t");
writer.Write(variety.Name);
}
writer.WriteLine();
for (int i = 0; i < varietyArray.Length; i++)
{
writer.Write(varietyArray[i].Name);
for (int j = 0; j < varietyArray.Length; j++)
{
writer.Write("\t");
if (i != j)
{
VarietyPair varietyPair = varietyArray[i].VarietyPairs[varietyArray[j]];
double score = similarityMetric == SimilarityMetric.Lexical ? varietyPair.LexicalSimilarityScore : varietyPair.PhoneticSimilarityScore;
writer.Write("{0:0.00}", score);
}
}
writer.WriteLine();
}
}
}
public void Export(Stream stream, CogProject project, SimilarityMetric similarityMetric)
{
var optics = new Optics<Variety>(variety => variety.VarietyPairs.Select(pair =>
{
double score = 0;
switch (similarityMetric)
{
case SimilarityMetric.Lexical:
score = pair.LexicalSimilarityScore;
break;
case SimilarityMetric.Phonetic:
score = pair.PhoneticSimilarityScore;
break;
}
return Tuple.Create(pair.GetOtherVariety(variety), 1.0 - score);
}).Concat(Tuple.Create(variety, 0.0)), 2);
Variety[] varietyArray = optics.ClusterOrder(project.Varieties).Select(oe => oe.DataObject).ToArray();
using (var writer = new StreamWriter(new NonClosingStreamWrapper(stream)))
{
foreach (Variety variety in varietyArray)
{
writer.Write("\t");
writer.Write(variety.Name);
}
writer.WriteLine();
for (int i = 0; i < varietyArray.Length; i++)
{
writer.Write(varietyArray[i].Name);
for (int j = 0; j < varietyArray.Length; j++)
{
writer.Write("\t");
if (i != j)
{
VarietyPair varietyPair = varietyArray[i].VarietyPairs[varietyArray[j]];
double score = similarityMetric == SimilarityMetric.Lexical ? varietyPair.LexicalSimilarityScore : varietyPair.PhoneticSimilarityScore;
writer.Write("{0:0.00}", score);
}
}
writer.WriteLine();
}
}
}
private void CreateSimilarityMatrix()
{
var optics = new Optics<Variety>(variety => variety.VarietyPairs.Select(pair =>
{
double score = 0;
switch (_similarityMetric)
{
case SimilarityMetric.Lexical:
score = pair.LexicalSimilarityScore;
break;
case SimilarityMetric.Phonetic:
score = pair.PhoneticSimilarityScore;
break;
}
return Tuple.Create(pair.GetOtherVariety(variety), 1.0 - score);
}).Concat(Tuple.Create(variety, 0.0)), 2);
_modelVarieties.Clear();
_modelVarieties.AddRange(optics.ClusterOrder(_projectService.Project.Varieties).Select(oe => oe.DataObject));
SimilarityMatrixVarietyViewModel[] vms = _modelVarieties.Select(v => new SimilarityMatrixVarietyViewModel(_similarityMetric, _modelVarieties, v)).ToArray();
Varieties = new ReadOnlyList<SimilarityMatrixVarietyViewModel>(vms);
IsEmpty = false;
}
