A KD-tree is a data structure for efficient search and nearest-neighbor(s) computation of points in K-dimensional space. I like programming in Java and couldn't find any Java KD-tree implementations on the Web, so I wrote this one. (There appear to be better implementations now, like the ones mentioned on this site.) I also thank the following contributors:
The file kd.jar contains the Java class edu.wlu.cs.levy.CG.KDTree, which supports the standard KD-tree operations insert, delete, equality search, range search, and nearest-neighbor. There is also a version for C#, written by Marco A Alvarez, in KDTreeDLL.zip.
The JAR file contains the class files of course, but also all the source and the Makefile, for anyone wishing to hack the code (KDTree.nearest could probably be improved). The demonstration programs kddemo, kdtime, kdrange, and kdnbrs show you how to use the KDTree class. To run these programs, do the following in Unix (or the equivalent Java commands on your platform);
% javac -classpath .:kd.jar kddemo.java % javac -classpath .:kd.jar kdrange.java % javac -classpath .:kd.jar kdtime.java % javac -classpath .:kd.jar kdnbrs.java % java -classpath .:kd.jar kddemo % java -classpath .:kd.jar kdrange % java -classpath .:kd.jar kdtime 10000 2 100 (for example) % java -classpath .:kd.jar kdnbrs 10000 3 100 (for example)Please send comments, questions, and suggestions to email@example.com.   Like all software I've posted, KDTree is released under the Gnu Lesser General Public License.