更具体地说,我最近的邻居搜索出现问题。我已经确认树是正确构建的,并且所有辅助函数均按预期工作。
请注意,这与标准KD树略有不同,因为我正在寻找最接近的3点。
struct Node
{
unsigned int axis;
Point* obj;
struct Node* left;
struct Node* right;
};
void _findClosest(struct Node* current, Point* to, Point** first, Point** second, Point** third, unsigned int depth)
{
if(current == NULL) return;
if(current->left == NULL && current->right == NULL)
{
//_setOrder updates first, second, and third so that they point to
//objects that are closest to "to", given an object and the current
//current first, second, and third.
_setOrder(to, current->obj, first, second, third);
return;
}
unsigned int axis = depth % 2;
struct Node* other = NULL;
if(to->getValue(axis) < current->obj->getValue(axis))
{
other = current->right;
_findClosest(current->left, to, first, second, third, depth+1);
}
else
{
other = current->left;
_findClosest(current->right, to, first, second, third, depth+1);
}
_setOrder(to, current->obj, first, second, third);
if(other == NULL) return;
double searchToBest = _largestDistance(to, *first, *second, *third);
double searchToSplit = _distance(to, current->obj, current->axis);
//This branch is ALWAYS taken, so this devolves into an O(n) search
if(searchToBest >= searchToSplit)
{
_findClosest(other, to, first, second, third, depth+1);
}
}
我想我只是以某种方式误解了数据结构/算法。
末节:
-如果在NULL对象上调用了distance函数,则它们返回std::numberic_limits::max()
-这是在KD树的根上调用的,深度为0,并且* first = * second = * third = NULL
-axis = 0对应于X,axis = 1对应于Y
问题在于访问了每个节点,而不是看到通过利用树属性而预期的减少。无论有什么缺陷,它都会使它成为O(n)搜索。
最佳答案
这行是错误的:
double searchToSplit = _distance(to,current-> obj,current-> axis);
您需要轴,而不是当前->轴。
关于c++ - 我的KD-Tree怎么了? (K = 2),我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/789656/