Generate Multidimensional Data for Clustering: MOCluGen

Versione 1.0.1 (210 KB) da Nuno Fachada

Multidimensional cluster generation in MATLAB/Octave

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

Segui

0.0

(0)

37 download

Aggiornato 23 gen 2024

Visualizza la licenza su GitHub

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

Cita come

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.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2013a

Compatibile con R2013a e release successive

Compatibilità della piattaforma

Windows macOS Linux

Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

startup.m

docs/plot_funcs

src

tests

docs

live_example.mlx

Versione	Pubblicato	Note della release
1.0.1	23 gen 2024	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.1	Scarica
1.0.0	11 ago 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v1.0.0	Scarica
0.4.0.0	27 giu 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.4.0	Scarica
0.3.0	13 giu 2023	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.3.0	Scarica
0.2.0	23 gen 2024	See release notes for this release on GitHub: https://github.com/clugen/MOCluGen/releases/tag/v0.2.0	Scarica
0.1.0	26 gen 2023		Scarica

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita 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} }