【文件属性】：
文件名称：matlab如何导出代码-kdtree:自动从code.google.com/p/kdtree-matlab导出
文件大小：293KB
文件格式：ZIP
更新时间：2021-05-23 16:43:33
系统开源
matlab如何编写代码kdtree
（自动从code.google.com/p/kdtree-matlab导出）
该库提供了kd-tree数据结构的简约实现。
该实现既可以通过MEX调用在MATLAB内部使用，也可以直接使用其C
/
C
++接口作为独立工具使用。
侧面的图像是在matlab中从“
fulltest.m”创建的。
基本API
kdtree_build：kd树构造O（n
log
^
2（n））
kdtree_delete：释放由kdtree分配的内存
kdtree_nearest_neighbor：最近邻居查询（一个或多个点）
kdtree_k_nearest_neighbors：单个查询点的kNN
kdtree_range_query：矩形范围查询
kdtree_ball_query：查询距点的距离增量内的样本
档案结构
每个脚本/功能都包含以下内容：
*
.cpp：源代码的mex实现
*
.mexmaci：mex的编译版本（intel
mac）
*
.m：您可以使用“
help”命令浏览的注释
*
_demo.m：演示行为的演示文件
Matlab类包装器
我正在为该
【文件预览】：
kdtree-master
----toolbox()
--------kdtree_nearest_neighbor_demo.m(995B)
--------kdtree_compile.m(852B)
--------kdtree_k_nearest_neighbors.m(1KB)
--------kdtree_ball_query.m(1KB)
--------kdtree_range_query_demo.m(543B)
--------kdtree_delete.mexw64(8KB)
--------kdtree_build_demo.m(755B)
--------kdtree_delete.mexmaci64(44KB)
--------kdtree_build.mexw64(36KB)
--------MyHeaps.h(13KB)
--------kdtree_nearest_neighbor.cpp(2KB)
--------kdtree_build.m(850B)
--------kdtree_k_nearest_neighbors_demo.m(3KB)
--------kdtree_k_nearest_neighbors.mexmaci64(53KB)
--------kdtree_figure_demo.m(1KB)
--------kdtree_delete.m(462B)
--------kdtree_range_query.m(974B)
--------kdtree_build.mexmaci64(49KB)
--------kdtree_nearest_neighbor.mexw64(22KB)
--------KDTree.m(2KB)
--------KDTree.h(21KB)
--------kdtree_io_from_mat.mexmaci64(53KB)
--------README(2KB)
--------kdtree_k_nearest_neighbor_demo.m(590B)
--------kdtree_range_query.mexw64(13KB)
--------KDTree_demo.m(595B)
--------kdtree_range_query.mexmaci64(49KB)
--------kdtree_io_from_mat.mexw64(17KB)
--------kdtree_delete.cpp(360B)
--------Makefile(3KB)
--------kdtree_ball_query.mexmaci64(48KB)
--------kdtree_ball_query.cpp(3KB)
--------kdtree_nearest_neighbor.m(1KB)
--------kdtree_nearest_neighbor.mexmaci64(48KB)
--------kdtree_ball_query_demo.m(947B)
--------kdtree_delete_demo.m(329B)
--------kdtree_io_to_mat.mexw64(9KB)
--------kdtree_ball_query.mexw64(15KB)
--------kdtree_io_from_mat.cpp(2KB)
--------kdtree_range_query.cpp(4KB)
--------kdtree_io_to_mat.mexmaci64(44KB)
--------kdtree_io_to_mat.cpp(2KB)
--------kdtree_k_nearest_neighbors.cpp(5KB)
--------kdtree_build.cpp(2KB)
--------kdtree_k_nearest_neighbors.mexw64(23KB)
----kdtree-matlab.creator(10B)
----extensions()
--------kdtree_load.cpp(712B)
--------kdtree_load.m(485B)
--------kdtree_save.m(407B)
--------KDTree.h(27KB)
--------kdtree_print.m(306B)
--------kdtree_save.cpp(1KB)
--------kdtree_print.cpp(1KB)
----media()
--------teaser.png(27KB)
----kdtree-matlab.includes(78B)
----cppdemos()
--------kdtree_nearest_neighbor.cpp(3KB)
--------old.h(3KB)
--------kdtree_delete.cpp(714B)
--------Makefile(4KB)
--------kdtree_ball_query.cpp(2KB)
--------kdtree_range_query.cpp(2KB)
--------kdtree_k_nearest_neighbors.cpp(2KB)
--------kdtree_build.cpp(4KB)
----.gitignore(24B)
----README.md(2KB)
----kdtree-matlab.config(31B)
----kdtree-matlab.files(742B)