Crate fuzzy_dbscan

An implementation of the FuzzyDBSCAN algorithm.

Example

extern crate fuzzy_dbscan;

#[derive(Debug)]
struct Point {
    x: f32,
    y: f32,
}

fn euclidean_distance(a: &Point, b: &Point) -> f32 {
    ((b.x - a.x).powi(2) + (b.y - a.y).powi(2)).sqrt()
}

fn main() {
    let points = vec![
        Point { x: 0.0, y: 0.0 },
        Point { x: 100.0, y: 100.0 },
        Point { x: 105.0, y: 105.0 },
        Point { x: 115.0, y: 115.0 },
    ];

    let fuzzy_dbscan = fuzzy_dbscan::FuzzyDBSCAN::<Point> {
        distance_fn: &euclidean_distance,
        eps_min: 10.0,
        eps_max: 20.0,
        pts_min: 1.0,
        pts_max: 2.0,
    };

    println!("{:?}", fuzzy_dbscan.cluster(&points));
}

Structs

Assignment	An element of a cluster.
FuzzyDBSCAN	An instance of the FuzzyDBSCAN algorithm.

Enums

Category

A high-level classification, as defined by the FuzzyDBSCAN algorithm.

Type Definitions

Cluster

A group of assigned points.