public double GetSimilarity(ICase caseA, ICase caseB, ReasonerContext context)
{
if (covarianceMatrix == null)
{
covarianceMatrix = GetCovarianceMatrix(context.Cases);
}
if (caseA == null)
{
throw new ArgumentNullException(nameof(caseA));
}
if (caseB == null)
{
throw new ArgumentNullException(nameof(caseB));
}
var differenceVector = new DenseMatrix(1, caseA.Schema.Count);
for (var i = 0; i < caseA.Schema.Count; i++)
{
differenceVector[0, i] = caseA.GetAttribute <double>(caseA.Schema[i]) - caseB.GetAttribute <double>(caseA.Schema[i]);
}
var distance = differenceVector * covarianceMatrix.Transpose() * differenceVector.Transpose();
return(Math.Sqrt(distance[0, 0]));
}
private static Vector GetAttributesVector(ICase targetCase)
{
var attributes = new double[targetCase.Schema.Count];
for (var i = 0; i < targetCase.Schema.Count; i++)
{
attributes[i] = targetCase.GetAttribute <double>(targetCase.Schema[i]);
}
return(new DenseVector(attributes));
}
public double GetSimilarity(ICase caseA, ICase caseB)
{
if (caseA == null)
{
throw new ArgumentNullException(nameof(caseA));
}
if (caseB == null)
{
throw new ArgumentNullException(nameof(caseB));
}
double result = 0;
foreach (var attribute in caseA.Schema)
{
result += attribute.Type == typeof(double)
? Math.Pow(Math.Abs(caseA.GetAttribute <double>(attribute) - caseB.GetAttribute <double>(attribute)), order)
: 0;
}
return(Math.Pow(result, 1 / order));
}
public double GetSimilarity(ICase caseA, ICase caseB, ReasonerContext context)
{
if (caseA == null)
{
throw new ArgumentNullException(nameof(caseA));
}
if (caseB == null)
{
throw new ArgumentNullException(nameof(caseB));
}
double result = 0;
foreach (var attribute in caseA.Schema)
{
if (targetAttributes.Length > 0 && !targetAttributes.Contains(attribute.Name))
{
continue;
}
result += Math.Pow(Math.Abs(caseA.GetAttribute <double>(attribute) - caseB.GetAttribute <double>(attribute)), order);
}
return(Math.Pow(result, 1 / order));
}
