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nmslibR
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
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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 07 Oct. 2026.
Previous versions and publish date:
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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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