K d tree in matlab

所属分类:其他
开发工具:matlab
文件大小:15KB
下载次数:6
上传日期:2017-09-25 14:05:47
上 传 者mahbob
说明:  k d clustering in matlab

文件列表:
kdtree\lib\kdtreeidx.m (2071, 2013-10-29)
kdtree\lib\kdtree.m (2156, 2013-10-29)
kdtree\lib\kdrangequery.m (1481, 2013-10-29)
kdtree\src\kdtreeidx.cc (5483, 2013-10-29)
kdtree\src\kdtree_common.h (2293, 2013-10-29)
kdtree\src\kdtree.cc (5441, 2013-10-29)
kdtree\src\kdrangequery.cc (3828, 2013-10-29)
kdtree\src\kdtree_common.cc (8798, 2013-10-29)
kdtree\kdrange_demo.m (934, 2013-10-29)
kdtree\kdtree_demo.m (1088, 2013-10-29)
license.txt (1312, 2014-02-12)

This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. **** IMPORTANT *** You will need to compile the code in the kdtree/src library using the MATLAB mex compiler. You can simply try to use the following commands or type "help mex" to learn more about compiling mex-functions. >> cd kdtree/lib >> edit ../src/kdtree_common.h % Edit this file to set your system headers. >> mex ../src/kdtree.cc >> mex ../src/kdtreeidx.cc >> mex ../src/kdrangequery.cc These instructions will make sure that the compiled mex files end up in your kdtree/lib directory. If they end up elsewhere, move them into the kdtree/lib directory. Finally, be sure to add the kdtree/lib directory to your MATLAB PATH. **** IMPORTANT *** Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). Written by / send comments or suggestions to : Guy Shechter guy at jhu dot edu October 2013 Change Log: October 2013: + Updated include file headers in kdtree/src/kdtree_common.h + Better mex compilation instructions in the README file June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well.

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