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Spatial Trees
RP Trees
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What are Random Projection Trees?
Random Projection Trees is a recursive space partitioning
datastructure which can automatically adapt to the underlying (linear
or nonlinear) structure in data. It has strong theoretical guarantees
on rates of convergence and works well in practice.
You can use RPTrees to learn the structure of manifolds, perform
fast nearestneighbor searches, do vectorquantization of the underlying
density, and much more.
RPTree Tutorials:
You can start using RPTrees by following the tutorials.
Technical Papers:
