Random projection trees for vector quantization
Machine Learning
2008-05-12 v1
Abstract
A simple and computationally efficient scheme for tree-structured vector quantization is presented. Unlike previous methods, its quantization error depends only on the intrinsic dimension of the data distribution, rather than the apparent dimension of the space in which the data happen to lie.
Cite
@article{arxiv.0805.1390,
title = {Random projection trees for vector quantization},
author = {Sanjoy Dasgupta and Yoav Freund},
journal= {arXiv preprint arXiv:0805.1390},
year = {2008}
}