Enhance the KDTree nearest neighbor search by utilizing priority queues to keep track of the closest points during the search process, thereby reducing unnecessary distance calculations.
Tasks:
Implement priority queues to manage the nearest neighbor candidates.
Integrate the priority queue with the KDTree search algorithm.
Write unit tests to ensure the correctness and performance of the optimized search algorithm.
This optimization will improve the efficiency and speed of the nearest neighbor search, making Neighborly more performant for applications requiring fast and accurate search capabilities.
How to Contribute:
Fork the repository and create a new branch for your changes.
Implement the priority queue and integrate it with the KDTree search algorithm.
Ensure all new and existing tests pass.
Submit a pull request with a detailed description of the changes and performance improvements observed.
Description:
Enhance the KDTree nearest neighbor search by utilizing priority queues to keep track of the closest points during the search process, thereby reducing unnecessary distance calculations.
Tasks:
Resources:
Impact:
This optimization will improve the efficiency and speed of the nearest neighbor search, making Neighborly more performant for applications requiring fast and accurate search capabilities.
How to Contribute:
Blocked by #17