Random projection trees and low dimensional manifolds

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Abstract

We present a simple variant of the κ-d tree which automatically adapts to intrinsic low dimensional structure in data without having to explicitly learn this structure. Copyright 2008 ACM.

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Dasgupta, S., & Freund, Y. (2008). Random projection trees and low dimensional manifolds. In Proceedings of the Annual ACM Symposium on Theory of Computing (pp. 537–546). Association for Computing Machinery. https://doi.org/10.1145/1374376.1374452

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