SLSB-forest:approximate k nearest neighbors searching on high dimensional data

SLSB-forest:approximate k nearest neighbors searching on high dimensional data

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The study of approximate k nearest neighbors query has attracted broad attention.Local sensitive hash is one of the mainstream ways to solve this problem.Local sensitive hash and its varients have noted the following problems:the uneven distribution of hashed data in the buckets,it cannot calculate...

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Bibliographic Details
Main Authors: Tu QIAN, Jiangbo QIAN, Yihong DONG, Huahui CHEN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-09-01
Series:Dianxin kexue
Subjects:
approximate k nearest neighbor;locality sensitive hash;high dimensionality
Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2017193

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http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2017193

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