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Description:

pyclugen 1.1.3

pyclugen
pyclugen is a Python 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.
Installation
Install from PyPI:
pip install --upgrade pip
pip install pyclugen

Or directly from GitHub:
pip install --upgrade pip
pip install git+https://github.com/clugen/pyclugen.git#egg=pyclugen

Quick start
from pyclugen import clugen
import matplotlib.pyplot as plt

out2 = clugen(2, 4, 400, [1, 0], 0.4, [50, 10], 20, 1, 2)
plt.scatter(out2.points[:, 0], out2.points[:, 1], c=out2.clusters)
plt.show()

out3 = clugen(3, 5, 10000, [0.5, 0.5, 0.5], 0.2, [10, 10, 10], 10, 1, 2)
fig = plt.figure()
ax = fig.add_subplot(projection="3d")
ax.scatter(out3.points[:, 0], out3.points[:, 1], out3.points[:, 2], c=out3.clusters)
plt.show()

See also

CluGen.jl, a Julia implementation of
the clugen algorithm.
clugenr, an R implementation
of the clugen algorithm.
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)

License
MIT License