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MOCluGen is a MATLAB/Octave implementation of theclugen algorithm forgenerating multidimensional clusters with arbitrary distributions. Each clusteris supported by a line segment, the position, orientation and length of whichguide where the respective points are placed.

See thedocumentation andexamples for more details.

Download the most recent version from thereleases page or clone thedevelopment version with following command:

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

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

>>startup

MOCluGen can now be used, e.g:

>>o= clugen(2,4,400, [10],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, [100],pi/8, [201525],16,4,3.5,'seed',123);>> scatter3(o.points(:,1),o.points(:,2),o.points(:,3),36,o.clusters,'filled','MarkerEdgeColor','k');

• pyclugen, a Python implementation oftheclugen algorithm.
• CluGen.jl, a Julia implementation oftheclugen algorithm.
• clugenr, an R implementationof theclugen algorithm.

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

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

MIT License