https://github.com/brentp/lsh

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

https://github.com/brentp/lsh

Science Score: 10.0%

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  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (5.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

Basic Info
  • Host: GitHub
  • Owner: brentp
  • License: mit
  • Language: Go
  • Default Branch: master
  • Homepage:
  • Size: 74.2 KB
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  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of ekzhu/lsh
Created about 9 years ago · Last pushed about 9 years ago

https://github.com/brentp/lsh/blob/master/

# LSH for Go

[![Build Status](https://travis-ci.org/ekzhu/lsh.svg?branch=master)](https://travis-ci.org/ekzhu/lsh)
[![GoDoc](https://godoc.org/github.com/ekzhu/lsh?status.svg)](https://godoc.org/github.com/ekzhu/lsh)
[![DOI](https://zenodo.org/badge/50131034.svg)](https://zenodo.org/badge/latestdoi/50131034)

[Documentation](https://godoc.org/github.com/ekzhu/lsh)

Install: `go get github.com/ekzhu/lsh`

This library includes various Locality Sensitive Hashing (LSH) algorithms
for the approximate nearest neighbour search problem in L2 metric space.
The family of LSH functions for L2 is the work of 
[Mayur Datar et.al.](http://www.cs.princeton.edu/courses/archive/spr05/cos598E/bib/p253-datar.pdf)

Currently includes:

* [Basic LSH](http://www.vldb.org/conf/1999/P49.pdf)
* [Multi-probe LSH](http://www.cs.princeton.edu/cass/papers/mplsh_vldb07.pdf)
* [LSH Forest](http://infolab.stanford.edu/~bawa/Pub/similarity.pdf)

Owner

  • Name: Brent Pedersen
  • Login: brentp
  • Kind: user
  • Location: Oregon, USA

Doing genomics

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