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Each cluster is supported\nby a line segment, the position, orientation and length of which guide where the\nrespective points are placed.\n\nSee the [documentation](https://clugen.github.io/CluGen.jl/stable) and\n[examples](https://clugen.github.io/CluGen.jl/stable/examples/) for more\ndetails.\n\n## Installation\n\n```julia\nPkg.add(\"CluGen\")\n```\n\n## Quick start\n\n```julia\nusing CluGen, Plots\n```\n\n```julia\no = clugen(2, 4, 400, [1, 0], pi / 8, [20, 10], 10, 1, 1.5)\np = plot(o.points[:, 1], o.points[:, 2], seriestype=:scatter, group=o.clusters)\n```\n\n![2D example](https://clugen.github.io/CluGen.jl/stable/ex2d_quick.svg)\n\n```julia\no = clugen(3, 4, 1000, [1, 0, 1], pi / 8, [20, 15, 25], 16, 4, 3.5)\np = plot(o.points[:, 1], o.points[:, 2], o.points[:, 3], seriestype=:scatter, group=o.clusters)\n```\n\n![3D example](https://clugen.github.io/CluGen.jl/stable/ex3d_quick.svg)\n\n## See also\n\n* [pyclugen](https://github.com/clugen/pyclugen), a Python implementation of\n  the *clugen* algorithm.\n* [clugenr](https://github.com/clugen/clugenr), an R implementation of the\n  *clugen* algorithm.\n* [MOCluGen](https://github.com/clugen/MOCluGen), a MATLAB/Octave implementation\n  of the *clugen* algorithm.\n\n## Reference\n\nIf you use this software, please cite the following reference:\n\n* Fachada, N. \u0026 de Andrade, D. (2023). Generating multidimensional clusters\n  with support lines. *Knowledge-Based Systems*, 277, 110836.\n  \u003chttps://doi.org/10.1016/j.knosys.2023.110836\u003e\n  ([arXiv preprint](https://doi.org/10.48550/arXiv.2301.10327))\n\n## License\n\n[MIT License](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fclugen%2FCluGen.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fclugen%2FCluGen.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fclugen%2FCluGen.jl/lists"}