In this implementation of the KNN algorithm we have used the kd-Tree
data structure in order to improve the performance of the searching
method. The current implementation of the kd-Tree data structure is
published under the Academic Free Software License. The details can be
found in the included LICENSE file.

The interface in this version is the same as the standard version.
You can link your program or macro against this version and no
modification is required.

In this directory two sample programs are included ("train.cpp and
classify.cpp"). These can be used as a starting point for using the
trainer and the classifier.

==================================================================
The KDTREE2 software is licensed under the terms of the Academic Free
Software License, listed herein.  In addition, users of this software
must give appropriate citation in relevant technical documentation or
journal paper to the author, Matthew B. Kennel, Institute For
Nonlinear Science, preferably via a reference to the www.arxiv.org
repository of this document, {\tt www.arxiv.org e-print:
physics/0408067}.  This requirement will be deemed to be advisory and
not mandatory as is necessary to permit the free inclusion of the
present software with any software licensed under the terms of any
version of the GNU General Public License, or GNU Library General
Public License.