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Jul 4, 2021 at 17:32 comment added TilmannZ If you are interested in high-dimensional quadtree-type indexes, have a look at my PH-Tree. It is a somewhat optimized quadtree that works well with 50 dimensions, it was comparable to R-Tree performance for up to 1000 dimensions. Especially for highly clustered data (I tested with 40 dimensions) it seems to have much faster k-nearest-neighbor queries than kd-trees. The original paper (see link above) also discusses the number of subnodes in a quadtree.
Jul 4, 2021 at 10:12 vote accept FlubberBeer
Jul 3, 2021 at 16:12 answer added dirkt timeline score: 2
Jul 2, 2021 at 12:06 history asked FlubberBeer CC BY-SA 4.0