KD-Tree Library

This library provides an implementation for building KD-Trees and performing nearest-neighbor searches. It is templated such that it supports float and double precision types for any set of k-dimensional points.

Directory Structure

kd-tree/

• data/                   Sample input, query and tree data
• include/              External header files to be used
• src/                     All source files (*.cpp, *.h)
• LICENSE.txt       MIT License boilerplate
• Makefile              To build the package
• README.txt       This file

Build Instructions

This library uses C++11 features and was tested on Ubuntu 14.04.05 LTS (trusty) 64-bit using the compiler: g++ (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4

To build, clone the package and run the Makefile in the kd-tree folder:

usr@host:kd-tree$ make

Usage Instructions

1. Build KD-Tree:

$ ./KDTree --build <path/input_file.csv>

Sample data can be found in ./data/ Output file "tree.json" is generated

2. Query KD-Tree for Nearest Neighbors:

$ ./KDTree --query <path/query_file.csv> <path/tree.json>(optional)

If tree file is not entered, the default "./data/sample_tree.json" is used. Output files "query_results.csv" and "query_results_truth.csv" are generated.

3. Help:

$ ./KDTree --help

Usage instructions can be viewed here.