private IKDTreeDomain NearestNeighbourListBBFI(SortedLimitedList best,
int q, IKDTreeDomain target, HyperRectangle hr, int maxDistSq,
out int resDistSq, SortedLimitedList searchHr, ref int searchSteps)
{
resDistSq = Int32.MaxValue;
IKDTreeDomain pivot = dr;
best.Add(new BestEntry(dr, KDTree.DistanceSq(target, dr), true));
HyperRectangle leftHr = hr;
HyperRectangle rightHr = leftHr.SplitAt(splitDim,
pivot.GetDimensionElement(splitDim));
HyperRectangle nearerHr, furtherHr;
KDTree nearerKd, furtherKd;
if (target.GetDimensionElement(splitDim) <=
pivot.GetDimensionElement(splitDim))
{
nearerKd = left;
nearerHr = leftHr;
furtherKd = right;
furtherHr = rightHr;
}
else
{
nearerKd = right;
nearerHr = rightHr;
furtherKd = left;
furtherHr = leftHr;
}
IKDTreeDomain nearest = null;
int distSq;
searchHr.Add(new HREntry(furtherHr, furtherKd, pivot,
furtherHr.Distance(target)));
if (nearerKd == null)
{
distSq = Int32.MaxValue;
}
else
{
nearest = nearerKd.NearestNeighbourListBBFI(best, q, target, nearerHr,
maxDistSq, out distSq, searchHr, ref searchSteps);
}
if (best.Count >= q)
{
maxDistSq = ((BestEntry)best[q - 1]).DistanceSq;
}
else
{
maxDistSq = Int32.MaxValue;
}
if (searchHr.Count > 0)
{
HREntry hre = (HREntry)searchHr[0];
searchHr.RemoveAt(0);
furtherHr = hre.HR;
furtherKd = hre.Tree;
pivot = hre.Pivot;
}
searchSteps -= 1;
if (searchSteps > 0 &&
furtherHr.IsInReach(target, Math.Sqrt(maxDistSq)))
{
int ptDistSq = KDTree.DistanceSq(pivot, target);
if (ptDistSq < distSq)
{
nearest = pivot;
distSq = ptDistSq;
maxDistSq = distSq;
}
int tempDistSq;
IKDTreeDomain tempNearest = null;
if (furtherKd == null)
{
tempDistSq = Int32.MaxValue;
}
else
{
tempNearest = furtherKd.NearestNeighbourListBBFI(best, q,
target, furtherHr, maxDistSq, out tempDistSq, searchHr,
ref searchSteps);
}
if (tempDistSq < distSq)
{
nearest = tempNearest;
distSq = tempDistSq;
}
}
resDistSq = distSq;
return(nearest);
}
private IKDTreeDomain NearestNeighbourI(IKDTreeDomain target, HyperRectangle hr,
double maxDistSq, out double resDistSq)
{
resDistSq = Double.PositiveInfinity;
IKDTreeDomain pivot = dr;
HyperRectangle leftHr = hr;
HyperRectangle rightHr = leftHr.SplitAt(splitDim,
pivot.GetDimensionElement(splitDim));
HyperRectangle nearerHr, furtherHr;
KDTree nearerKd, furtherKd;
if (target.GetDimensionElement(splitDim) <=
pivot.GetDimensionElement(splitDim))
{
nearerKd = left;
nearerHr = leftHr;
furtherKd = right;
furtherHr = rightHr;
}
else
{
nearerKd = right;
nearerHr = rightHr;
furtherKd = left;
furtherHr = leftHr;
}
IKDTreeDomain nearest = null;
double distSq;
if (nearerKd == null)
{
distSq = Double.PositiveInfinity;
}
else
{
nearest = nearerKd.NearestNeighbourI(target, nearerHr,
maxDistSq, out distSq);
}
maxDistSq = Math.Min(maxDistSq, distSq);
if (furtherHr.IsInReach(target, Math.Sqrt(maxDistSq)))
{
double ptDistSq = KDTree.DistanceSq(pivot, target);
if (ptDistSq < distSq)
{
nearest = pivot;
distSq = ptDistSq;
maxDistSq = distSq;
}
double tempDistSq;
IKDTreeDomain tempNearest = null;
if (furtherKd == null)
{
tempDistSq = Double.PositiveInfinity;
}
else
{
tempNearest = furtherKd.NearestNeighbourI(target,
furtherHr, maxDistSq, out tempDistSq);
}
if (tempDistSq < distSq)
{
nearest = tempNearest;
distSq = tempDistSq;
}
}
resDistSq = distSq;
return(nearest);
}
private IKDTreeDomain NearestNeighbourListI(SortedLimitedList best,
int q, IKDTreeDomain target, HyperRectangle hr, double maxDistSq,
out double resDistSq)
{
resDistSq = Double.PositiveInfinity;
IKDTreeDomain pivot = dr;
best.Add(new BestEntry(dr, KDTree.DistanceSq(target, dr)));
HyperRectangle leftHr = hr;
HyperRectangle rightHr = leftHr.SplitAt(splitDim,
pivot.GetDimensionElement(splitDim));
HyperRectangle nearerHr, furtherHr;
KDTree nearerKd, furtherKd;
if (target.GetDimensionElement(splitDim) <=
pivot.GetDimensionElement(splitDim))
{
nearerKd = left;
nearerHr = leftHr;
furtherKd = right;
furtherHr = rightHr;
}
else
{
nearerKd = right;
nearerHr = rightHr;
furtherKd = left;
furtherHr = leftHr;
}
IKDTreeDomain nearest = null;
double distSq;
if (nearerKd == null)
{
distSq = Double.PositiveInfinity;
}
else
{
nearest = nearerKd.NearestNeighbourListI(best, q, target, nearerHr,
maxDistSq, out distSq);
}
if (best.Count >= q)
{
maxDistSq = ((BestEntry)best[q - 1]).Distance;
}
else
{
maxDistSq = Double.PositiveInfinity;
}
if (furtherHr.IsInReach(target, Math.Sqrt(maxDistSq)))
{
double ptDistSq = KDTree.DistanceSq(pivot, target);
if (ptDistSq < distSq)
{
nearest = pivot;
distSq = ptDistSq;
maxDistSq = distSq;
}
double tempDistSq;
IKDTreeDomain tempNearest = null;
if (furtherKd == null)
{
tempDistSq = Double.PositiveInfinity;
}
else
{
tempNearest = furtherKd.NearestNeighbourListI(best, q, target,
furtherHr, maxDistSq, out tempDistSq);
}
if (tempDistSq < distSq)
{
nearest = tempNearest;
distSq = tempDistSq;
}
}
resDistSq = distSq;
return(nearest);
}
private IKDTreeDomain NearestNeighbourListI(SortedLimitedList best, int q, IKDTreeDomain target, HyperRectangle hr, double maxDistSq, out double resDistSq)
{
resDistSq = Double.PositiveInfinity;
IKDTreeDomain pivot = dr;
best.Add(new BestEntry(dr, KDTree.DistanceSq(target, dr)));
HyperRectangle leftHr = hr;
HyperRectangle rightHr = leftHr.SplitAt(splitDim,
pivot.GetDimensionElement(splitDim));
HyperRectangle nearerHr, furtherHr;
KDTree nearerKd, furtherKd;
// step 5-7
if (target.GetDimensionElement(splitDim) <=
pivot.GetDimensionElement(splitDim))
{
nearerKd = left;
nearerHr = leftHr;
furtherKd = right;
furtherHr = rightHr;
}
else
{
nearerKd = right;
nearerHr = rightHr;
furtherKd = left;
furtherHr = leftHr;
}
// step 8
IKDTreeDomain nearest = null;
double distSq;
// No child, bottom reached!
if (nearerKd == null)
{
distSq = Double.PositiveInfinity;
}
else
{
nearest = nearerKd.NearestNeighbourListI(best, q, target, nearerHr,
maxDistSq, out distSq);
}
// step 9
//maxDistSq = Math.Min (maxDistSq, distSq);
if (best.Count >= q)
{
maxDistSq = ((BestEntry)best[q - 1]).Distance;
}
else
{
maxDistSq = Double.PositiveInfinity;
}
// step 10
if (furtherHr.IsInReach(target, Math.Sqrt(maxDistSq)))
{
double ptDistSq = KDTree.DistanceSq(pivot, target);
if (ptDistSq < distSq)
{
// steps 10.1.1 to 10.1.3
nearest = pivot;
distSq = ptDistSq;
// TODO: use k-element list
/*
* best.Add (new BestEntry (pivot, ptDistSq));
* best.Sort ();
*/
maxDistSq = distSq;
}
// step 10.2
double tempDistSq;
IKDTreeDomain tempNearest = null;
if (furtherKd == null)
{
tempDistSq = Double.PositiveInfinity;
}
else
{
tempNearest = furtherKd.NearestNeighbourListI(best, q, target,
furtherHr, maxDistSq, out tempDistSq);
}
// step 10.3
if (tempDistSq < distSq)
{
nearest = tempNearest;
distSq = tempDistSq;
}
}
resDistSq = distSq;
return(nearest);
}
