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It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset.\nFLANN is written in C++ and contains bindings for the following languages: C, MATLAB, Python, and Ruby.\n\n\nDocumentation\n-------------\n\nCheck FLANN web page [here](http://www.cs.ubc.ca/research/flann).\n\nDocumentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.\n\nMore information and experimental results can be found in the following paper:\n\n  * Marius Muja and David G. Lowe, \"Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration\", in International Conference on Computer Vision Theory and Applications (VISAPP'09), 2009 [(PDF)](https://www.cs.ubc.ca/research/flann/uploads/FLANN/flann_visapp09.pdf) [(BibTex)](http://people.cs.ubc.ca/~mariusm/index.php/FLANN/BibTex)\n\n\nGetting FLANN\n-------------\n\nIf you want to try out the latest changes or contribute to FLANN, then it's recommended that you checkout the git source repository: `git clone git://github.com/mariusmuja/flann.git`\n\nIf you just want to browse the repository, you can do so by going [here](https://github.com/mariusmuja/flann).\n\n\nConditions of use\n-----------------\n\nFLANN is distributed under the terms of the [BSD License](https://github.com/mariusmuja/flann/blob/master/COPYING).\n\nBug reporting\n-------------\n\nPlease report bugs or feature requests using [github's issue tracker](http://github.com/mariusmuja/flann/issues).\n","funding_links":[],"categories":["Software","SDKs \u0026 Libraries","C++","Linear Algebra / Statistics Toolkit","Machine Learning Libraries"],"sub_categories":["Libraries","Tensor Similarity \u0026 Dimension Reduction","Vector search"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflann-lib%2Fflann","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fflann-lib%2Fflann","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflann-lib%2Fflann/lists"}