clugenr

Multidimensional cluster generation in R

https://github.com/clugen/clugenr

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.1%) to scientific vocabulary

Keywords

multidimensional-clusters multidimensional-data r r-package synthetic-clusters synthetic-data-generator synthetic-dataset-generation
Last synced: 6 months ago · JSON representation ·

Repository

Multidimensional cluster generation in R

Basic Info
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 9
Topics
multidimensional-clusters multidimensional-data r r-package synthetic-clusters synthetic-data-generator synthetic-dataset-generation
Created over 5 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog License Citation

README.md

Checks codecov docs CRAN\_Status\_Badge Downloads MIT

clugenr

Summary

clugenr is an R implementation of the clugen algorithm for generating multidimensional clusters with arbitrary distributions. Each cluster is supported by a line segment, the position, orientation and length of which guide where the respective points are placed.

How to install

A stable version of the package is available on CRAN and can be installed with the following instruction:

R install.packages("clugenr")

Alternatively, install the development version from GitHub with the following command (requires the devtools package):

R devtools::install_github("clugen/clugenr")

Documentation

All methods and functions are fully documented and can be queried using the built-in help system. After installation, to access the man pages, invoke the clugenr help page as follows:

R help("clugenr")

The complete online documentation is available here.

Quick start

R library(clugenr) x <- clugen(2, 5, 1000, c(1, -0.5), 0.5, c(4, 6), 6, 0.2, 0.5) plot(x$points, col = x$clusters, xlab = "x", ylab = "y", asp = 1)

R library(clugenr) library(rgl) # For 3D plots x <- clugen(3, 5, 2000, c(1, 0.5, -0.7), 0.5, c(15, 10, 20), 15, 3, 10) plot3d(x$points, col = x$clusters, xlab = "x", ylab = "y", zlab = "z", aspect = T)

See also

  • pyclugen, a Python implementation of the clugen algorithm.
  • CluGen.jl, an Julia implementation of the clugen algorithm.
  • MOCluGen, a MATLAB/Octave implementation of the clugen algorithm.

Reference

If you use this software, please cite the following reference:

License

MIT License

Owner

  • Name: clugen
  • Login: clugen
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: clugenr
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Nuno
    family-names: Fachada
    email: nuno.fachada@ulusofona.pt
    affiliation: 'Lusófona University, COPELABS'
    orcid: 'https://orcid.org/0000-0002-8487-5837'
repository-code: 'https://github.com/clugen/clugenr/'
abstract: >-
  clugenr is a modular procedure for synthetic data
  generation, capable of creating multidimensional clusters
  supported by line segments using arbitrary distributions.
keywords:
  - synthetic data
  - data generation
  - clustering
  - multidimensional data
license: MIT
preferred-citation:
  type: article
  authors:
    - given-names: Nuno
      family-names: Fachada
      email: nuno.fachada@ulusofona.pt
      affiliation: 'Lusófona University, COPELABS'
      orcid: 'https://orcid.org/0000-0002-8487-5837'
    - given-names: Diogo
      family-names: de Andrade
      email: diogo.andrade@ulusofona.pt
      affiliation: 'Lusófona University, COPELABS'
      orcid: 'https://orcid.org/0000-0001-9180-0545'
  title: Generating multidimensional clusters with support lines
  journal: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2023.110836
  volume: 277
  start: 110836
  month: 10
  year: 2023
  url: 'https://doi.org/10.1016/j.knosys.2023.110836'
  publisher:
    name: Elsevier

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Watch event: 1
  • Push event: 7
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Watch event: 1
  • Push event: 7

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 314
  • Total Committers: 1
  • Avg Commits per committer: 314.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Nuno Fachada f****n@f****m 314
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 9
  • Total pull requests: 0
  • Average time to close issues: 2 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • nunofachada (10)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 304 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: clugenr

Multidimensional Cluster Generation Using Support Lines

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 304 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 42.2%
Downloads: 81.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/check.yml actions
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  • actions/upload-artifact main composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/cov.yml actions
  • actions/checkout v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/docs.yml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3.3.0 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • R >= 3.6.0 depends
  • mathjaxr * imports
  • devtools * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • lintr * suggests
  • patchwork * suggests
  • rgl * suggests
  • rmarkdown * suggests
  • roxygen2 * suggests
  • testthat >= 3.0.0 suggests