Radius-clustering

What's Changed
* Enhanced Documentation by quentinhaenn in https://github.com/lias-laboratory/radius_clustering/pull/2
* Adding correct structure and files by quentinhaenn in https://github.com/lias-laboratory/radius_clustering/pull/3
* Update typo problems by mickaelbaron in https://github.com/lias-laboratory/radius_clustering/pull/4
* add cff file by quentinhaenn in https://github.com/lias-laboratory/radius_clustering/pull/5
* Added CI Workflow for publishing automatically by quentinhaenn in https://github.com/lias-laboratory/radius_clustering/pull/6
* New minor release and memory efficiency enhanced by quentinhaenn in https://github.com/lias-laboratory/radius_clustering/pull/7

New Contributors
* mickaelbaron made their first contribution in https://github.com/lias-laboratory/radius_clustering/pull/4

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

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](https://lias-laboratory.github.io/radius_clustering/index.html), 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.