Vptree

Implementation of VP-tree (https://en.wikipedia.org/wiki/Vantage-point_tree) for fast kNN search with any measure function.

Add this line to your application's Gemfile:

gem 'vptree'

And then execute:

$ bundle

Or install it yourself as:

$ gem install vptree

Building tree:

data = [[1,2], [2,1] , [2,2]]
# any measure, satisfies the triangle inequality, is allowed
# and may be passed as block
tree = Vptree::VPTree.new(data) # data - array of vectors of objects with special mixin, see https://github.com/generall/Distance-Measures

Quering tree:

nearest = tree.find_k_nearest([3,3], 1)

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/generall/vptree. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

The gem is available as open source under the terms of the MIT License.