public void CalculateDistance(BasicImage TrainImage, string metric)
{
double distance = 0;
if (metric == "Euclidean")
{// metryka euklidesa
for (int i = 0; i < Traits.Count; i++)
{
distance += Math.Pow(Traits[i] - TrainImage.Traits[i], 2);
}
distance = Math.Sqrt(distance);
}
if (metric == "Manhattan")
{// metryka uliczna
for (int i = 0; i < Traits.Count; i++)
{
distance += Math.Abs(Traits[i] - TrainImage.Traits[i]);
}
}
if (metric == "Chebyshev")
{// metryka Czebyszewa
double maxDistance = 0;
for (int i = 0; i < Traits.Count; i++)
{
distance = Math.Abs(Traits[i] - TrainImage.Traits[i]);
if (maxDistance < distance)
{
maxDistance = distance;
}
}
distance = maxDistance;
}
if (Neighbours.Count < ImageRecognition.k)
{
Neighbours.Add(new Neighbour(distance, TrainImage));
}
else
{
Neighbours = Neighbours.OrderBy(x => x.Distance).ToList();
if (distance < Neighbours[ImageRecognition.k - 1].Distance)
{
Neighbours[ImageRecognition.k - 1] = new Neighbour(distance, TrainImage);
}
}
}
public Neighbour(double distance, BasicImage image)
{
Distance = distance; Image = image;
}
