Generate Multidimensional Data for Clustering: MOCluGen

Version 1.0.1 (210 KB) by Nuno Fachada

Multidimensional cluster generation in MATLAB/Octave

https://clugen.github.io/MOCluGen/

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Updated 23 Jan 2024

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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:

$ 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:

>> startup

MOCluGen can now be used, e.g:

>> 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');

>> 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');

Reference

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

Fachada, N. & de Andrade, D. (2023). Generating multidimensional clusters with support lines. Knowledge-Based Systems, 277, 110836. https://doi.org/10.1016/j.knosys.2023.110836 (arXiv preprint)

License

MIT License

Cite As

Fachada, Nuno, and Diogo de Andrade. “Generating Multidimensional Clusters with Support Lines.” Knowledge-Based Systems, vol. 277, Elsevier BV, Oct. 2023, p. 110836, doi:10.1016/j.knosys.2023.110836.

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MATLAB Release Compatibility

Created with R2013a

Compatible with R2013a and later releases

Platform Compatibility

Windows macOS Linux

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startup.m

docs/plot_funcs

src

tests

docs

live_example.mlx

Version	Published	Release Notes
1.0.1	23 Jan 2024	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.1	Download
1.0.0	11 Aug 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.0	Download
0.4.0.0	27 Jun 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.4.0	Download
0.3.0	13 Jun 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.3.0	Download
0.1.0	26 Jan 2023		Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	Fachada, Nuno, and Diogo de Andrade. “Generating Multidimensional Clusters with Support Lines.” Knowledge-Based Systems, vol. 277, Elsevier BV, Oct. 2023, p. 110836, doi:10.1016/j.knosys.2023.110836.
APA	Fachada, N., & Andrade, D. de. (2023). Generating multidimensional clusters with support lines. Knowledge-Based Systems, 277, 110836. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.knosys.2023.110836
BibTeX	@article{Fachada_2023, doi = {10.1016/j.knosys.2023.110836}, url = {https://doi.org/10.1016%2Fj.knosys.2023.110836}, year = 2023, month = {oct}, publisher = {Elsevier {BV}}, volume = {277}, pages = {110836}, author = {Nuno Fachada and Diogo de Andrade}, title = {Generating multidimensional clusters with support lines}, journal = {Knowledge-Based Systems} }