CSD-RkNN is a high-performance reverse k nearest neighbors (RkNN) query algorithm, leveraging the concept of conic section discriminance (CSD) for its efficient implementation. If you have any questions, please don't hesitate to reach out by email to the authors. Subsequent updates will be disseminated through the project's GitHub repository.
GitHub source code: https://github.com/HPSCIL/CSD-RkNN
Email: liyang_cs@cug.edu.cn