Description: Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as comparison algorithms, etc.
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File list (Check if you may need any files):
kdtree\CHANGES
......\KDTree.h
......\Makefile
......\MyHeaps.h
......\README
......\TODO
......\fulltest.m
......\kdtree_ball_query.cpp
......\kdtree_ball_query.m
......\kdtree_ball_query.mexmaci
......\kdtree_ball_query_demo.m
......\kdtree_build.cpp
......\kdtree_build.m
......\kdtree_build.mexmaci
......\kdtree_build_demo.m
......\kdtree_delete.cpp
......\kdtree_delete.m
......\kdtree_delete.mexmaci
......\kdtree_delete_demo.m
......\kdtree_k_nearest_neighbor_demo.m
......\kdtree_k_nearest_neighbors.cpp
......\kdtree_k_nearest_neighbors.m
......\kdtree_k_nearest_neighbors.mexmaci
......\kdtree_k_nearest_neighbors_demo.m
......\kdtree_nearest_neighbor.cpp
......\kdtree_nearest_neighbor.m
......\kdtree_nearest_neighbor.mexmaci
......\kdtree_nearest_neighbor_demo.m
......\kdtree_range_query.cpp
......\kdtree_range_query.m
......\kdtree_range_query.mexmaci
......\kdtree_range_query_demo.m
license.txt
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