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.