FLANN
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.
About this tool
Overview
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.
Programming Language Support
FLANN is written in C++ and contains bindings for:
- C
- MATLAB
- Python
- Ruby
Key Features
Automatic Algorithm Selection
The library automatically chooses the best algorithm and optimum parameters depending on the dataset characteristics, making it easy to use for various applications.
Multiple Algorithms
Contains a collection of algorithms that have been found to work best for nearest neighbor search across different types of high-dimensional data.
Use Cases
- Computer vision applications
- Machine learning workflows
- High-dimensional data analysis
- Image and pattern recognition
Documentation
Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.
Pricing
Free and open-source under LGPL license.
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