public static double GetCost(Signature sig1, Signature sig2, DtwType dtwType, List <FeatureDescriptor> features)
{
switch (dtwType)
{
case DtwType.DtwPy:
return(DtwPy.Dtw(sig1.GetAggregateFeature(features), sig2.GetAggregateFeature(features), DtwPy.EuclideanDistance));
case DtwType.NDtw:
//hatalmas hack, csak egy-egy featurere működik, kombinációra nem
return(new NDtw.Dtw(sig1.GetFeature <List <double> >(features[0]).ToArray(), sig2.GetFeature <List <double> >(features[0]).ToArray(),
DistanceMeasure.Manhattan).GetCost());
case DtwType.FrameworkDtw:
return(new SigStat.Common.Algorithms.Dtw(Accord.Math.Distance.Manhattan)
.Compute(sig1.GetAggregateFeature(features).ToArray(), sig2.GetAggregateFeature(features).ToArray()));
case DtwType.MyDtw:
return(new Common.Dtw(sig1, sig2, features).CalculateDtwScore());
default:
throw new ArgumentException(nameof(dtwType) + typeof(DtwType) + "not exists");
}
}
public DTWClassifier(List <FeatureDescriptor> inputFeatures, DtwType dtwType) : this(inputFeatures)
{
DtwType = dtwType;
}
