Generate Multidimensional Data for Clustering: MOCluGen

Versión 1.0.1 (210 KB) por Nuno Fachada

Multidimensional cluster generation in MATLAB/Octave

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

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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

Citar como

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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Compatibilidad con la versión de MATLAB

Se creó con R2013a

Compatible con cualquier versión desde R2013a

Compatibilidad con las plataformas

Windows macOS Linux

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startup.m

docs/plot_funcs

src

tests

docs

live_example.mlx

Versión	Publicado	Notas de la versión
1.0.1	23 ene 2024	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.1	Descargar
1.0.0	11 ago 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.0	Descargar
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	Descargar
0.3.0	13 jun 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.3.0	Descargar
0.2.0	23 ene 2024	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.2.0	Descargar
0.1.0	26 ene 2023		Descargar

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.

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} }