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nmslibR  

Non Metric Space (Approximate) Library
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nmslibR", "1.0.7")



Attach the package and use:
library("nmslibR")
Maintained by
Lampros Mouselimis
[Scholar Profile | Author Map]
First Published: 2018-02-27
Latest Update: 2023-02-01
Description:
A Non-Metric Space Library ('NMSLIB' ) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' 'Python' Library.
How to cite:
Lampros Mouselimis (2018). nmslibR: Non Metric Space (Approximate) Library. R package version 1.0.7, https://cran.r-project.org/web/packages/nmslibR. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-02-27 12:23), 1.0.1 (2018-04-14 16:03), 1.0.2 (2018-05-10 13:15), 1.0.3 (2018-07-21 21:00), 1.0.4 (2020-03-08 12:10), 1.0.5 (2021-05-07 18:00), 1.0.6 (2021-09-11 17:00)
Other packages that cited nmslibR R package
View nmslibR citation profile
Other R packages that nmslibR depends, imports, suggests or enhances
Complete documentation for nmslibR
Functions, R codes and Examples using the nmslibR R package
Some associated functions: KernelKnnCV_nmslib . KernelKnn_nmslib . NMSlib . TO_scipy_sparse . import_internal . inner_kernel_function . mat_2scipy_sparse . 
Some associated R codes: RcppExports.R . RcppModule.R . nmslib.R . package.R .  Full nmslibR package functions and examples
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