Closed bomenderick closed 1 week ago
Attention: Patch coverage is 83.87097%
with 55 lines
in your changes missing coverage. Please review.
Project coverage is 95.14%. Comparing base (
be27f2c
) to head (8f06c40
). Report is 6 commits behind head on master.
Files with missing lines | Patch % | Lines |
---|---|---|
src/data_structures/kd_tree.rs | 83.87% | 55 Missing :warning: |
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Description
A K-D Tree(also known as a K-Dimensional Tree) is a binary search tree where data in each node is a K-Dimensional point in space. In short, it is a space partitioning data structure for organizing points in a K-Dimensional space in other to facilitate nearest neighbor search of points. In addition to insert, search, and delete methods, the implementation also supports nearest neighbors search, median finding for insertion in other to keep the k-d tree balanced, and a merge method to combine two k-d trees by collecting their points and building a balanced k-d tree from it.
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