https://github.com/gdkrmr/coranking

Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
https://github.com/gdkrmr/coranking

dimensionality-reduction manifold-learning quality r statistics unsupervised-learning

Last synced: 6 months ago
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Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions

• Host: GitHub
• URL: https://github.com/gdkrmr/coranking
• Owner: gdkrmr
• License: gpl-3.0
• Created: 2016-09-27T12:48:01.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2024-10-08T12:59:27.000Z (about 1 year ago)
• Last Synced: 2025-03-24T10:11:47.494Z (7 months ago)
• Topics: dimensionality-reduction, manifold-learning, quality, r, statistics, unsupervised-learning
• Language: R
• Homepage: https://CRAN.R-project.org/package=coRanking
• Size: 83.7 MB
• Stars: 9
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# coRanking

[![docs](https://img.shields.io/badge/docs-dev-blue.svg)](https://coranking.guido-kraemer.com)

[![R](https://github.com/gdkrmr/coRanking/actions/workflows/r.yml/badge.svg)](https://github.com/gdkrmr/coRanking/actions/workflows/r.yml)

[![codecov](https://codecov.io/gh/gdkrmr/coRanking/branch/master/graph/badge.svg?token=vEkHGuhNHQ)](https://app.codecov.io/gh/gdkrmr/coRanking)

[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/coRanking)](https://cran.r-project.org/package=coRanking)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3365908.svg)](https://doi.org/10.5281/zenodo.3365908)

The Co-Ranking Matrix

An implementation of the Co-Ranking matrix and derived methods to

assess the quality of dimensionality reductions

## Installing

Install the development version:

```R

## install.packages("devtools")

devtools::install_github("gdkrmr/coRanking")

```

Install from CRAN:

```R

install.packages("coRanking")

```

Use it:

```R

library(coRanking)

```

## Citing

The corresponding publication can be found

[here](https://journal.r-project.org/archive/2018/RJ-2018-039/index.html "dimRed

and coRanking - Unifying Dimensionality Reduction in R"), please cite if you use

it:

```bibtex

@article{RJ-2018-039,

  author = {Guido Kraemer and Markus Reichstein and Miguel D. Mahecha},

  title = {{dimRed and coRanking---Unifying Dimensionality Reduction in R}},

  year = {2018},

  journal = {{The R Journal}},

  url = {https://journal.r-project.org/archive/2018/RJ-2018-039/index.html},

  pages = {342--358},

  volume = {10},

  number = {1}

}

```