pyclugen
pyclugen implements the multidimensional cluster generation algorithm in Python.
About 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, and the segment's position, orientation and length determine where its points are placed.
The repository includes installation instructions for PyPI and GitHub, a short quick-start example that plots generated clusters in two and three dimensions, and links to documentation and examples. The source also lists related implementations of the same algorithm in Julia, R and MATLAB/Octave. The page does not describe specific limitations of the library.
Key features
- Generates multidimensional clusters with arbitrary distributions using the clugen algorithm
- Places cluster points based on the position, orientation and length of a supporting line segment
- Returns point coordinates and cluster labels for each generated dataset
- Installable from PyPI or directly from the GitHub repository
- Quick-start example plots generated clusters in two and three dimensions with matplotlib
- Released under the MIT License
Best for: Python users who need synthetic multidimensional clustered datasets for analysis or algorithm testing.
Good for
- Open source under the MIT License
- Can be installed with pip from PyPI
- Includes links to documentation and examples and a citation reference for the underlying method
pyclugen at a glance
- Website
- github.com/clugen/pyclugen
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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pyclugen FAQ
How can pyclugen be installed?
It can be installed from PyPI with pip install pyclugen, or directly from GitHub with pip install git+https://github.com/clugen/pyclugen.git#egg=pyclugen.
What should be cited when using pyclugen?
The repository asks users to cite Fachada, N. & de Andrade, D. (2023), Generating multidimensional clusters with support lines, Knowledge-Based Systems, 277, 110836.
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