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vptree

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vptree

A package implementing a vantage-point data structure, for efficient nearest neighbor searching.

1.3
PyPI
Maintainers
1

VP-Tree

.. image:: https://badge.fury.io/py/vptree.svg :target: https://badge.fury.io/py/vptree

.. image:: https://app.travis-ci.com/RickardSjogren/vptree.svg?branch=master :target: https://app.travis-ci.com/RickardSjogren/vptree

This package contains an implementation of a vantage-point tree <https://en.wikipedia.org/wiki/Vantage-point_tree>_ data structure.

Installation

Simply install through pip:

.. code-block::

pip install vptree

Example

Example usage:

.. code-block:: python

import numpy as np import vptree

Define distance function.

def euclidean(p1, p2): return np.sqrt(np.sum(np.power(p2 - p1, 2)))

Generate some random points.

points = np.random.randn(20000, 10) query = [.5] * 10

Build tree in O(n log n) time complexity.

tree = vptree.VPTree(points, euclidean)

Query single point.

tree.get_nearest_neighbor(query)

Query n-points.

tree.get_n_nearest_neighbors(query, 10)

Get all points within certain distance.

tree.get_all_in_range(query, 3.14)

Keywords

python machine learning search

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