https://github.com/aboisvert/kdtrey5

A kd-tree implementation in Scala
https://github.com/aboisvert/kdtrey5

Last synced: 20 days ago
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A kd-tree implementation in Scala

• Host: GitHub
• URL: https://github.com/aboisvert/kdtrey5
• Owner: aboisvert
• License: apache-2.0
• Created: 2019-10-18T16:58:58.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-11-30T15:08:10.000Z (about 1 year ago)
• Last Synced: 2024-10-28T17:20:10.412Z (2 months ago)
• Language: Scala
• Homepage:
• Size: 58.6 KB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

KD-Trey5

========

A kd-tree (https://en.wikipedia.org/wiki/K-d_tree) implementation written in Scala and designed to run on AWS DynamoDB as a persistence backend.

The code works, is decently tested, but shouldn't be considered production-grade yet as it has never been battle-tested.

A few minor implementation notes:

* The design allows for custom CoordinateSystems that define how data points measured distance-wise against each other, e.g. you could bring your own 2D, 3D, 4D or other coordinate systems.

* The implementation generalizes the typical binary-tree structure of the KD-Tree into a n-ary tree.  Nodes can have a custom fan-out.  In that respect, this implementation is closer to what is typically considered a B+Tree.

* The design doesn't optimize for duplicate keys, yet handles duplicates.

* The kd-tree construction algorithm assumes primitives of map-reduce framework / divide and conquer akin to Spark.  A simple local implementation is provided (which runs across cores in multi-threaded fashion).  There is no Spark implementation of the kdtrey5.DataSet interfaces yet.

Why the name KD-Trey5?

======================

It sounds close enough to kd-tree and happens to be Kevin Durant's (of basketball fame) twitter handle (https://twitter.com/KDtrey5).  Let's pretend it's in homage to him.  Kevin has not endorsed this project.