moclugen

Multidimensional cluster generation in MATLAB/Octave

https://github.com/clugen/moclugen

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
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  • Scientific vocabulary similarity
    Low similarity (13.8%) to scientific vocabulary

Keywords

gnu-octave gnu-octave-toolbox matlab matlab-toolbox multidimensional-clusters multidimensional-data octave octave-toolbox synthetic-clusters synthetic-data-generator synthetic-dataset-generation
Last synced: 6 months ago · JSON representation ·

Repository

Multidimensional cluster generation in MATLAB/Octave

Basic Info
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 7
Topics
gnu-octave gnu-octave-toolbox matlab matlab-toolbox multidimensional-clusters multidimensional-data octave octave-toolbox synthetic-clusters synthetic-data-generator synthetic-dataset-generation
Created over 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Checks codecov docs MIT View MOCluGen on File Exchange Open in MATLAB Online

MOCluGen

Summary

MOCluGen is a MATLAB/Octave 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.

See the documentation and examples for more details.

Install and use

Download the most recent version from the releases page or clone the development version with following command:

text $ git clone https://github.com/clugen/MOCluGen.git

Open MATLAB or GNU Octave and cd into the project's folder, and run the startup.m script:

```matlab

startup ```

MOCluGen can now be used, e.g:

```matlab

o = clugen(2, 4, 400, [1 0], pi / 8, [50, 10], 20, 1, 2, 'seed', 123); scatter(o.points(:, 1), o.points(:, 2), 36, o.clusters, 'filled', 'MarkerEdgeColor', 'k'); ```

Example 2D

```matlab

o = clugen(3, 4, 1000, [1 0 0], pi / 8, [20 15 25], 16, 4, 3.5, 'seed', 123); scatter3(o.points(:, 1), o.points(:, 2), o.points(:, 3), 36, o.clusters, 'filled', 'MarkerEdgeColor', 'k'); ```

Example 3D

See also

  • pyclugen, a Python implementation of the clugen algorithm.
  • CluGen.jl, a Julia implementation of the clugen algorithm.
  • clugenr, an R 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: MOCluGen
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/MOCluGen/'
abstract: >-
  MOCluGen 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

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Last synced: 8 months ago

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  • Total Committers: 1
  • Avg Commits per committer: 262.0
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Past Year
  • Commits: 6
  • Committers: 1
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Nuno Fachada f****n@f****m 262
Committer Domains (Top 20 + Academic)

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Last synced: 8 months ago

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Packages

  • Total packages: 2
  • Total downloads: unknown
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 14
proxy.golang.org: github.com/clugen/moclugen
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
proxy.golang.org: github.com/clugen/MOCluGen
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 7 months ago