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scikits.ann

version 0.2.dev-r803

Approximate Nearest Neighbor library wrapper for Numpy

Download: http://pypi.python.org/pypi/scikits.ann
Homepage: http://scipy.org/scipy/scikits/wiki/AnnWrapper
PyPI: http://pypi.python.org/pypi/scikits.ann
People: Barry Wark

Description

The ANN module provides a numpy-compatible python wrapper around the
Approximate Nearest Neighbor library (http://www.cs.umd.edu/~mount/ANN/).

* Installation *
Download and build the Approximate Nearest Neighbor library. Modify the ANN section of
site.cfg so that ANN_ROOT is the path to the root of the Approximate Nearest Neighbor
library include/lib tree.
If /usr/local/include contains the ANN/ include directory and /usr/local/lib contains
libANN.a, then
ANN_ROOT = /usr/local

Run ::

python setup.py build_ext --inplace build test
sudo python setup.py install

from within the source directory.

* Usage *
scikits.ann exposes a single class, kdtree that wraps the Approximate Nearest Neighbor
library's kd-tree implementation. kdtree has a single (non-constructor) method, knn that
finds the indecies (of the points used to construct the kdtree) of the k-nearest neighbors
and the squared distances to those points. A little example will probably be much
more enlightening::
>>> import scikits.ann as ann

>>> import numpy as np

>>> k=ann.kdtree(np.array([[0.,0],[1,0],[1.5,2]]))

>>> k.knn([0,.2],1)
(array([[0]]), array([[ 0.04]]))

>>> k.knn([0,.2],2)
(array([[0, 1]]), array([[ 0.04, 1.04]]))

>>> k.knn([[0,.2],[.1,2],[3,1],[0,0]],2)
(array([[0, 1],
[2, 0],
[2, 1],
[1, 2]]), array([[ 0.04, 1.04],
[ 1.96, 4.01],
[ 3.25, 5. ],
[ 1. , 6.25]]))

>>> k.knn([[0,.2],[.1,2],[3,1],[0,0]],3)
(array([[ 0, 1, 2],
[ 2, 0, 1],
[ 2, 1, 0],
[ 1, 2, -1]]), array([[ 4.00000000e-002, 1.04000000e+000, 5.49000000e+000],
[ 1.96000000e+000, 4.01000000e+000, 4.81000000e+000],
[ 3.25000000e+000, 5.00000000e+000, 1.00000000e+001],
[ 1.00000000e+000, 6.25000000e+000, 1.79769313e+308]]))

Installation

PyPI

You can download the latest distribution from PyPI here: http://pypi.python.org/pypi/scikits.ann

Easy Install

Install the Easy Install tools. Afterwards you can install scikits.ann from the terminal by executing:

sudo easy_install scikits.ann

If you prefer to do a local installation, specify an installation prefix:

easy_install --prefix=${HOME} scikits.ann
and ensure that your PYTHONPATH is up to date, e.g.:
export PYTHONPATH=$PYTHONPATH:${HOME}/lib/python2.5/site-packages

This package was discovered in PyPI.