A KD-Tree (K-Dimensional Tree)

[bomenderick]

A K-D Tree (also known as a K-Dimensional Tree) is a binary search tree where each node contains a K-Dimensional point in space. Essentially, it is a space-partitioning data structure used to organize points in a K-Dimensional space, which facilitates the search for nearest neighbors.

In addition to the basic operations of insertion, search, and deletion, this implementation also supports nearest neighbor searches and median finding to maintain balance during insertions. Furthermore, it includes a merge method that allows the combination of two K-D Trees by gathering their points and constructing a balanced K-D Tree from them.

Read more:

https://www.geeksforgeeks.org/search-and-insertion-in-k-dimensional-tree/
https://www.geeksforgeeks.org/deletion-in-k-dimensional-tree/

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 96.18768% with 13 lines in your changes missing coverage. Please review.

Project coverage is 95.43%. Comparing base (41c76e4) to head (bf5be5c).
Report is 13 commits behind head on master.

Files with missing lines	Patch %	Lines
src/data_structures/kd_tree.rs	96.18%	13 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #844      +/-   ##
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+ Coverage   95.42%   95.43%   +0.01%     
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  Files         316      317       +1     
  Lines       22754    23095     +341     
==========================================
+ Hits        21713    22041     +328     
- Misses       1041     1054      +13     

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[github-actions]

This pull request has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.