Construct KD Tree


This node constructs a KD Tree from the input vector list.



KD Trees is a space-partitioning data structure that can be used in multiple spatial searching applications like:

  • Find the nearest point to a given point.
  • Find points that lie inside a circle of given radius and center.

This data structure is used instead of a traditional nearest neighbor search because it is tremendously faster having a time complexity of O(n) in the worst case.


  • Vector List - A vector list that contain the locations of the points.


  • KDTree - The output KDTree.

Advanced Node Settings

  • N/A

Examples of Usage