Random projection trees for vector quantization

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dc.creatorDasgupta, Sanjoy
dc.creatorFreund, Yoav
dc.date2008-05-09
dc.date.accessioned2026-07-07T09:38:03Z
dc.date.available2026-07-07T09:38:03Z
dc.descriptionA 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.
dc.identifierhttps://arxiv.org/abs/0805.1390
dc.identifierhttp://arxiv.org/abs/0805.1390
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/160672
dc.subjectMachine Learning
dc.titleRandom projection trees for vector quantization
dc.typetext

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