Simple kd-Trees
Point of contact: John Ostlund
Software Information
Description
This program constructs a kd-tree from the contents of an input dataset of k-dimensional vectors, and then performs nearest neighbor searches within the kd-tree using query points from a query dataset. The search can be either for K nearest neighbors, or for all neighbors within some range (radius) of the query point. (Annoying note: the k's in kd-tree and k-nearest neighbor are not the same.)
Changelog
Download (text/plain, 77 bytes)
Downloads
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| Filename | Description | Update time | Size | Permission required |
|---|---|---|---|---|
| Documentation | ||||
| simkd_applic_doc.html | documentation | 9/1/05 4:35:02 PM | 15.7 kB | |
| Graphical version | ||||
| simkd_applic_linux_gui.tar.gz | Linux x86 package | 9/1/05 4:34:59 PM | 2.3 MB | Yes |
| simkd_applic-gui-setup.exe | Windows package | 9/1/05 4:35:01 PM | 1.1 MB | Yes |
| Command-line version | ||||
| simkd_applic_linux_cli.tar.gz | Linux x86 command line package | 9/1/05 4:34:56 PM | 318.1 kB | Yes |
| simkd_applic-cli-setup.exe | Windows command line package | 9/1/05 4:34:57 PM | 688.0 kB | Yes |
| Library for programmers | ||||
| simkd_applic_linux_api.tar.gz | Linux x86 library | 9/1/05 4:35:04 PM | 1.3 MB | Yes |
| simkd_applic_win_api.zip | Windows library | 9/1/05 4:35:06 PM | 1.8 MB | Yes |