public void MergeWith(SpeakerCluster target)
{
if (target == null)
{
throw new NullReferenceException();
}
var it = target._segmentSet.GetEnumerator();
while (it.MoveNext())
{
if (!AddSegment(it.Current))
{
Console.WriteLine("Something doesn't work in mergeWith method, Cluster class");
}
}
int rowDim = FeatureMatrix.getRowDimension() + target.FeatureMatrix.getRowDimension();
int colDim = FeatureMatrix.getColumnDimension();
var combinedFeatures = new Array2DRowRealMatrix(rowDim, colDim);
combinedFeatures.setSubMatrix(FeatureMatrix.getData(), 0, 0);
combinedFeatures
.setSubMatrix(target.FeatureMatrix.getData(), FeatureMatrix.getRowDimension(), 0);
_bicValue = SpeakerIdentification.GetBICValue(combinedFeatures);
FeatureMatrix = new Array2DRowRealMatrix(combinedFeatures.getData());
}
internal virtual double computeDistance(SpeakerCluster speakerCluster, SpeakerCluster speakerCluster2)
{
int rowDimension = speakerCluster.getFeatureMatrix().getRowDimension() + speakerCluster2.getFeatureMatrix().getRowDimension();
int columnDimension = speakerCluster.getFeatureMatrix().getColumnDimension();
Array2DRowRealMatrix array2DRowRealMatrix = new Array2DRowRealMatrix(rowDimension, columnDimension);
array2DRowRealMatrix.setSubMatrix(speakerCluster.getFeatureMatrix().getData(), 0, 0);
array2DRowRealMatrix.setSubMatrix(speakerCluster2.getFeatureMatrix().getData(), speakerCluster.getFeatureMatrix().getRowDimension(), 0);
double num = SpeakerIdentification.getBICValue(array2DRowRealMatrix);
double num2 = 13.0;
double num3 = 0.5 * (num2 + 0.5 * num2 * (num2 + (double)1f)) * java.lang.Math.log((double)array2DRowRealMatrix.getRowDimension()) * 2.0;
return(num - speakerCluster.getBicValue() - speakerCluster2.getBicValue() - num3);
}
static double ComputeDistance(SpeakerCluster c1, SpeakerCluster c2)
{
int rowDim = c1.FeatureMatrix.getRowDimension() + c2.FeatureMatrix.getRowDimension();
int colDim = c1.FeatureMatrix.getColumnDimension();
Array2DRowRealMatrix combinedFeatures = new Array2DRowRealMatrix(rowDim, colDim);
combinedFeatures.setSubMatrix(c1.FeatureMatrix.getData(), 0, 0);
combinedFeatures.setSubMatrix(c2.FeatureMatrix.getData(), c1.FeatureMatrix.getRowDimension(), 0);
double bicValue = GetBICValue(combinedFeatures);
double d = Segment.FeaturesSize;
double penalty = 0.5 * (d + 0.5 * d * (d + 1)) * Math.Log(combinedFeatures.getRowDimension()) * 2;
return(bicValue - c1.GetBicValue() - c2.GetBicValue() - penalty);
}
public virtual void mergeWith(SpeakerCluster target)
{
if (target == null)
{
throw new NullPointerException();
}
Iterator iterator = target.segmentSet.iterator();
while (iterator.hasNext())
{
if (!this.addSegment((Segment)iterator.next()).booleanValue())
{
[email protected]("Something doesn't work in mergeWith method, Cluster class");
}
}
int rowDimension = this.featureMatrix.getRowDimension() + target.getFeatureMatrix().getRowDimension();
int columnDimension = this.featureMatrix.getColumnDimension();
Array2DRowRealMatrix array2DRowRealMatrix = new Array2DRowRealMatrix(rowDimension, columnDimension);
array2DRowRealMatrix.setSubMatrix(this.featureMatrix.getData(), 0, 0);
array2DRowRealMatrix.setSubMatrix(target.getFeatureMatrix().getData(), this.featureMatrix.getRowDimension(), 0);
this.bicValue = SpeakerIdentification.getBICValue(array2DRowRealMatrix);
this.featureMatrix = new Array2DRowRealMatrix(array2DRowRealMatrix.getData());
}