CluGen.jl

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Multidimensional cluster generation in Julia

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# CluGen.jl

**CluGen.jl** is a Julia 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](https://clugen.github.io/CluGen.jl/stable) and
[examples](https://clugen.github.io/CluGen.jl/stable/examples/) for more
details.

## Installation

```julia
Pkg.add("CluGen")
```

## Quick start

```julia
using CluGen, Plots
```

```julia
o = clugen(2, 4, 400, [1, 0], pi / 8, [20, 10], 10, 1, 1.5)
p = plot(o.points[:, 1], o.points[:, 2], seriestype=:scatter, group=o.clusters)
```

![2D example](https://clugen.github.io/CluGen.jl/stable/ex2d_quick.svg)

```julia
o = clugen(3, 4, 1000, [1, 0, 1], pi / 8, [20, 15, 25], 16, 4, 3.5)
p = plot(o.points[:, 1], o.points[:, 2], o.points[:, 3], seriestype=:scatter, group=o.clusters)
```

![3D example](https://clugen.github.io/CluGen.jl/stable/ex3d_quick.svg)

## See also

* [pyclugen](https://github.com/clugen/pyclugen), a Python implementation of
  the *clugen* algorithm.
* [clugenr](https://github.com/clugen/clugenr), an R implementation of the
  *clugen* algorithm.
* [MOCluGen](https://github.com/clugen/MOCluGen), a MATLAB/Octave implementation
  of the *clugen* algorithm.

## 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](https://doi.org/10.48550/arXiv.2301.10327))

## License

[MIT License](LICENSE)

CluGen.jl

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