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KD I did this sucker in one take. One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension

Day 597 of coding on Handmade Hero. See http://handmadehero.org for details. NOTE: The Q&A for this episode had to be ...

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  • http://bit.ly/k-NN]
  • Part2: https://www.youtube.com/watch?v=1eNJHd7S58E.
  • K-dimensional tree space-partitioning data structure demo screencast. See: https://github.com/swizard0/
  • K-dimensional
  • In this video, I break down how

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