private KdTreeNode <TKey, TValue>[] RadialSearch(TKey[] center, TKey radius, NearestNeighbourList <KdTreeNode <TKey, TValue>, TKey> nearestNeighbours)
{
AddNearestNeighbours(
root,
center,
HyperRect <TKey> .Infinite(dimensions, typeMath),
0,
nearestNeighbours,
typeMath.Multiply(radius, radius));
var count = nearestNeighbours.Count;
var neighbourArray = new KdTreeNode <TKey, TValue> [count];
for (var index = 0; index < count; index++)
{
neighbourArray[count - index - 1] = nearestNeighbours.RemoveFurtherest();
}
return(neighbourArray);
}
public KdTreeNode <TKey, TValue>[] GetNearestNeighbours(TKey[] point, int count)
{
if (count > Count)
{
count = Count;
}
if (count < 0)
{
throw new ArgumentException("Number of neighbors cannot be negative");
}
if (count == 0)
{
return(new KdTreeNode <TKey, TValue> [0]);
}
var neighbours = new KdTreeNode <TKey, TValue> [count];
var nearestNeighbours = new NearestNeighbourList <KdTreeNode <TKey, TValue>, TKey>(count, typeMath);
var rect = HyperRect <TKey> .Infinite(dimensions, typeMath);
AddNearestNeighbours(root, point, rect, 0, nearestNeighbours, typeMath.MaxValue);
count = nearestNeighbours.Count;
var neighbourArray = new KdTreeNode <TKey, TValue> [count];
for (var index = 0; index < count; index++)
{
neighbourArray[count - index - 1] = nearestNeighbours.RemoveFurtherest();
}
return(neighbourArray);
}