vpsearch 2.1.0

Vantage Point Tree search algorithm for fast nearest neighbour search in multi-dimensional metric spaces.
Documentation 
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[dependencies.num-traits]
version = "0.2.19"

[[example]]
name = "knn"
path = "examples/knn.rs"

[[example]]
name = "newtype_ref"
path = "examples/newtype_ref.rs"

[[example]]
name = "orphan_rule"
path = "examples/orphan_rule.rs"

[[example]]
name = "points"
path = "examples/points.rs"

[[example]]
name = "radius_nn"
path = "examples/radius_nn.rs"

[lib]
name = "vpsearch"
path = "src/lib.rs"

[package]
authors = ["Kornel <kornel@geekhood.net>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "data-structures"]
description = "Vantage Point Tree search algorithm for fast nearest neighbour search in multi-dimensional metric spaces."
documentation = "https://docs.rs/vpsearch/"
edition = "2024"
homepage = "https://lib.rs/crates/vpsearch"
keywords = ["similarity", "search", "knn", "distance"]
license = "BSD-2-Clause"
name = "vpsearch"
readme = "README.md"
repository = "https://github.com/kornelski/vpsearch.git"
rust-version = "1.88"
version = "2.1.0"

[package.metadata.docs.rs]
rustdoc-args = ["--generate-link-to-definition"]
targets = ["x86_64-unknown-linux-gnu"]