3 ms·
I think it's something related to the curse of dimensionality [1] [2], basically just a property of high dimensional spaces (perhaps only certain kinds of space
by leto_ii 5y ago
I think it's something related to the curse of dimensionality [1] [2], basically just a property of high dimensional spaces (perhaps only certain kinds of spaces though).
[1] https://en.wikipedia.org/wiki/Curse_of_dimensionality https://en.wikipedia.org/wiki/Curse_of_dimensionality
[2] http://kops.uni-konstanz.de/bitstream/handle/123456789/5715/On_the_Surprising_Behavior_of_Distance_Metric_in_High_Dimensional_Space.pdf?sequence=1 http://kops.uni-konstanz.de/bitstream/handle/123456789/5715/...
- hedora 5y agoThe intrinsic dimensionality of a dataset is also relevant here. The M-Tree is one of my favorite indexes. It works with data that's embedded in infinite dimensional spaces (sometimes; it's bumping up against an impossibility result that's sketched in a sibling comment).
- bo1024 5y agoYes. Even though almost every all pairs of points are almost a full diameter away from each other, they are also almost all almost orthogonal (i.e. the angle they make with the center of the sphere is very close to 90 degrees).