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AurieLSHGaussian  

Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections
View on CRAN: Click here


Download and install AurieLSHGaussian package within the R console
Install from CRAN:
install.packages("AurieLSHGaussian")

Install from Github:
library("remotes")
install_github("cran/AurieLSHGaussian")

Install by package version:
library("remotes")
install_version("AurieLSHGaussian", "0.2.0")



Attach the package and use:
library("AurieLSHGaussian")
Maintained by
Aritra Banerjee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-13
Latest Update: 2017-09-15
Description:
Uses locality sensitive hashing and creates a neighbourhood graph for a data set and calculates the adjusted rank index value for the same. It uses Gaussian random planes to decide the nature of a given point. Datar, Mayur, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni(2004) .
How to cite:
Aritra Banerjee (2017). AurieLSHGaussian: Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections. R package version 0.2.0, https://cran.r-project.org/web/packages/AurieLSHGaussian. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2017-09-13 10:27)
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Complete documentation for AurieLSHGaussian
Functions, R codes and Examples using the AurieLSHGaussian R package
Some associated functions: LSH_Gaussian . 
Some associated R codes: AurieLSHGaussian.R .  Full AurieLSHGaussian package functions and examples
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