vpsearch 2.1.0

Vantage Point Tree search algorithm for fast nearest neighbour search in multi-dimensional metric spaces.
Documentation 
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#[derive(Copy, Clone)]
struct Point {
    x: f32, y: f32,
}

impl vpsearch::MetricSpace for Point {
    type UserData = ();
    type Distance = f32;

    fn distance(&self, other: &Self, _: &Self::UserData) -> Self::Distance {
        let dx = self.x - other.x;
        let dy = self.y - other.y;

        dx.hypot(dy) // can't use manhattan nor squared dist
    }
}

fn main() {

    let points = vec![Point{x:2.0,y:3.0}, Point{x:0.0,y:1.0}, Point{x:4.0,y:5.0}];

    let vp = vpsearch::Tree::new(&points);

    let (index, _) = vp.find_nearest(&Point{x:1.0,y:2.0});

    println!("The nearest point is at ({}, {})", points[index].x, points[index].y);
}