Governance changes

This release provides notable governances changes alongside repository and code enhancements :

• Project governance changed : now the project is part of scikit-learn-contrib organization.
• Updated the README to reflect the new governance and organization.
• Updated the documentation to reflect the new governance and organization.
• Updated the test cases to ensure compatibility with the new governance and organization.
• Enhanced repository standards with codecov, binder examples and zenodo integration.
• New issue and PR templates
• Code of conduct and contributing guidelines added

v1.1.0

What's Changed

• Enhanced Documentation by @quentinhaenn in #2
• Adding correct structure and files by @quentinhaenn in #3
• Update typo problems by @mickaelbaron in #4
• add cff file by @quentinhaenn in #5
• Added CI Workflow for publishing automatically by @quentinhaenn in #6
• New minor release and memory efficiency enhanced by @quentinhaenn in #7

New Contributors

• @mickaelbaron made their first contribution in #4

Full Changelog: https://github.com/lias-laboratory/radius_clustering/commits/v1.1.0

Radius Clustering 1.0.0

🎉 Initial Release: Radius Clustering v1.0.0

Welcome to the first release of Radius Clustering! 🚀

This package has been designed to perform clustering under radius constraints.

✨ Key Features

• [Feature 1]: Efficient clustering with radius constraints using dominating sets in graphs.
• [Feature 2]: Full compatibility with scikit-learn API's and Scipy dissimilarity functions
• [Feature 3]: Modifiable way of calculating the MDS (approx or exact)

📚 How to Get Started

All instructions and guides are in the documentation, do not hesitate to check it out !

🤝 Contribute

We’d love your feedback and contributions to help improve this project. Feel free to:

• Submit issues for bugs or feature requests.
• Open pull requests for contributions.

🚀 Let’s Build Together!

We hope Radius Clustering proves valuable for your projects. Check out the README and docs for more details and examples.