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DBSCAN clustering based on the kd-tree search

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KD-DBSCAN Clustering

A modular C++ implementation of the DBSCAN algorithm based on the kd-tree data structure. DBSCAN is stand for Density-based spatial clustering of applications with noise.

Getting started

git clone 
mkdir build && cd build && cmake ..
make -j$(nproc)
./run_app

References

[1] https://en.wikipedia.org/wiki/DBSCAN

[2] https://en.wikipedia.org/wiki/Implicit_k-d_tree

[3] https://github.com/CallmeNezha/SimpleDBSCAN

[4] https://www.cs.umd.edu/class/spring2022/cmsc420-0101/Lects/lect14-kd-query.pdf

[5] https://graylab.jhu.edu/PyRosetta.documentation/pyrosetta.rosetta.numeric.kdtree.html

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