{"id":25467872,"url":"https://github.com/himanegi/kd-tree","last_synced_at":"2026-01-24T04:33:30.137Z","repository":{"id":158672367,"uuid":"629104596","full_name":"himanegi/KD-Tree","owner":"himanegi","description":null,"archived":false,"fork":false,"pushed_at":"2023-04-29T09:38:15.000Z","size":7479,"stargazers_count":0,"open_issues_count":0,"forks_count":6,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-13T14:52:23.313Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/himanegi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-17T16:17:59.000Z","updated_at":"2023-04-17T16:18:00.000Z","dependencies_parsed_at":"2023-08-23T23:17:32.111Z","dependency_job_id":null,"html_url":"https://github.com/himanegi/KD-Tree","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/himanegi/KD-Tree","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanegi%2FKD-Tree","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanegi%2FKD-Tree/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanegi%2FKD-Tree/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanegi%2FKD-Tree/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/himanegi","download_url":"https://codeload.github.com/himanegi/KD-Tree/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanegi%2FKD-Tree/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28711526,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-23T23:51:44.727Z","status":"online","status_checked_at":"2026-01-24T02:00:06.909Z","response_time":89,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-18T07:34:53.178Z","updated_at":"2026-01-24T04:33:30.132Z","avatar_url":"https://github.com/himanegi.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# KD-Tree\n\nHere's an outline for a 20-page presentation on kd trees:\n\n#\n\nI. Introduction (Prakhar)\n\u003cbr\u003e\nA. Background Information\n\u003cbr\u003e\nB. Motivation for kd Trees\n\u003cbr\u003e\nC. Objectives and Goals of the Presentation\n\n#\n\nII. Foundations of kd Trees (Bikash)\n\u003cbr\u003e\nA. Definition of kd Trees\n\u003cbr\u003e\nB. Binary Space Partitioning Trees\n\u003cbr\u003e\nC. Spatial Subdivision\n\u003cbr\u003e\nD. Nearest Neighbor Search\n\n#\n\nIII. Construction of kd Trees (Rishiraj)\n\u003cbr\u003e\nA. Recursive Partitioning\n\u003cbr\u003e\nB. Median Selection\n\u003cbr\u003e\nC. Axis Selection\n\u003cbr\u003e\nD. Implementation of the Algorithm\n\n#\n\nIV. Querying kd Trees (Kartik)\n\u003cbr\u003e\nA. Nearest Neighbor Search\n\u003cbr\u003e\nB. Range Search\n\u003cbr\u003e\nC. k-Nearest Neighbor Search\n\u003cbr\u003e\nD. Approximate Nearest Neighbor Search\n\n#\n\nV. Variations and Applications of kd Trees (Arnab)\n\u003cbr\u003e\nA. Balanced kd Trees\n\u003cbr\u003e\nB. Adaptive kd Trees\n\u003cbr\u003e\nC. Range Trees\n\u003cbr\u003e\nD. Clustering Algorithms\n\u003cbr\u003e\nE. Dimensionality Reduction\n\u003cbr\u003e\nF. Machine Learning\n\n#\n\nVI. Performance Analysis of kd Trees (Dinesh)\n\u003cbr\u003e\nA. Time Complexity\n\u003cbr\u003e\nB. Space Complexity\n\u003cbr\u003e\nC. Comparison with Other Data Structures\n\u003cbr\u003e\nD. Benchmarking kd Tree Implementations\n\n#\n\nVII. Practical Examples and Use Cases (Raunak)\n\u003cbr\u003e\nA. Image Processing\n\u003cbr\u003e\nB. Geographic Information Systems\n\u003cbr\u003e\nC. Robotics and Path Planning\n\u003cbr\u003e\nD. Molecular Modeling\n\n#\n\nVIII. Limitations and Future Research (Saurabh)\n\u003cbr\u003e\nA. Limitations of kd Trees\n\u003cbr\u003e\nB. Potential Improvements and Future Research Directions \n\n#\n\nIX. Conclusion (Himanshu Negi)\n\u003cbr\u003e\nA. Summary of Key Points\n\u003cbr\u003e\nB. Importance of kd Trees\n\u003cbr\u003e\nC. Future Impact and Applications \n\n#\n\nX. References\n\u003cbr\u003e\nA. Citations for Sources and Further Reading\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimanegi%2Fkd-tree","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhimanegi%2Fkd-tree","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimanegi%2Fkd-tree/lists"}