Fast Library for Approximate Nearest Neighbors containing a collection of algorithms optimized for nearest neighbor search in high dimensional spaces with automatic algorithm and parameter selection.
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FLANN (Fast Library for Approximate Nearest Neighbors) is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset.
FLANN is written in C++ and contains bindings for:
The library automatically chooses the best algorithm and optimum parameters depending on the dataset characteristics, making it easy to use for various applications.
Contains a collection of algorithms that have been found to work best for nearest neighbor search across different types of high-dimensional data.
Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.
Free and open-source under LGPL license.
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