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Research PaperResearchia:202201.21001

K-d Trees - Computerphile

Computerphile

Abstract

![thumbnail](https://i.ytimg.com/vi/BK5x7IUTIyU/mqdefault.jpg) One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension Trees.

Submitted: January 21, 2022Subjects: Learning; Learning

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One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension Trees.

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Date:
Jan 21, 2022
Topic:
Learning
Area:
Learning
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