在两组中找到一对最接近的点的智能，快速方法是什么？

Question

For example, I have two lists of points:

List<Point2D> a;
List<Point2D> b;

What would be the best way to find such i and j , so that a.get(i).distance(b.get(j)) is minimal?

The obvious solution is brute-force - calculate distance from each point in a to each point in b , keep the pair with shortest distance. But this algorithm is O(n^2) , which is not good. Is there some better approach?

Answer 1

You can put one of the lists in a quad tree or some other spatial index to make each lookup fast.

As an alternative you could put all your data in a database with spatial index capabilites.

Answer 2

For every point of list a you can find the nearest point from list b as described in this answer . Time complexity is O((M+N) log M). N = |A|, M = |B|.

Then you just search the point in a , having the nearest neighbor. Time complexity is O(N).