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Radius Clustering 1.0.0
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@quentinhaenn quentinhaenn released this 21 Nov 17:20
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v1.0.0
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🎉 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.

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