https://github.com/jefferislab/RANN

R package providing fast nearest neighbour search (wraps ANN library)
https://github.com/jefferislab/RANN

ann-library nearest-neighbors nearest-neighbours r r-package

Last synced: 2 months ago
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R package providing fast nearest neighbour search (wraps ANN library)

• Host: GitHub
• URL: https://github.com/jefferislab/RANN
• Owner: jefferislab
• Created: 2013-07-23T22:56:53.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2024-08-25T15:58:58.000Z (5 months ago)
• Last Synced: 2024-10-28T17:25:03.741Z (3 months ago)
• Topics: ann-library, nearest-neighbors, nearest-neighbours, r, r-package
• Language: R
• Homepage: http://jefferislab.github.io/RANN/
• Size: 1.26 MB
• Stars: 58
• Watchers: 5
• Forks: 13
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md

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README

        
# RANN 

[![Release Version](https://img.shields.io/github/release/jefferislab/RANN.svg)](https://github.com/jefferislab/RANN/releases/latest) 

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/RANN)](https://CRAN.R-project.org/package=RANN) 

[![R-CMD-check](https://github.com/jefferis/RANN/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/jefferislab/RANN/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/jefferislab/RANN/graph/badge.svg)](https://app.codecov.io/gh/jefferislab/RANN)

[![Downloads](https://cranlogs.r-pkg.org/badges/RANN?color=brightgreen)](https://www.r-pkg.org/pkg/RANN)

Finds the k nearest neighbours for every point in a given dataset

in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is

support for approximate as well as exact searches, fixed radius searches

and bd as well as kd trees.

This package implements nearest neighbors for the Euclidean (L2) metric.

For the Manhattan (L1) metric, install the [RANN1](https://github.com/jefferislab/RANN/tree/master-L1) package.

For further details on the underlying ANN library, see https://www.cs.umd.edu/~mount/ANN.

## Installation

### Released versions

The recommendation is to install the released version from [CRAN](https://cran.r-project.org/) by doing:

```r

install.packages("RANN")

```

### Bleeding Edge

You can, however, use the **remotes** package to install the development version:

```r

# install.packages("remotes")

remotes::install_github("jefferis/RANN")

```

## Feedback

Please feel free to:

* submit suggestions and bug-reports at: 

* send pull requests after forking: 

* e-mail the maintainer: 

## Copyright and License

see [inst/COPYRIGHT](inst/COPYRIGHT) and [DESCRIPTION](DESCRIPTION) files for copyright and license information.