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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This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at www.bradyharan.com
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