Struct L2Distance

pub struct L2Distance;

Squared Euclidean distance: $d(a, b) = \sum_i (a_i - b_i)^2$.

Returns the squared distance (no sqrt) because ranking is preserved and sqrt is unnecessary for nearest-neighbor comparisons.

Example

use cvx_core::DistanceMetric;
use cvx_index::metrics::L2Distance;

let d = L2Distance;
let a = vec![1.0, 0.0];
let b = vec![0.0, 1.0];
assert!((d.distance(&a, &b) - 2.0).abs() < 1e-5); // (1-0)^2 + (0-1)^2 = 2

Trait Implementations

impl Clone for L2Distance

fn clone(&self) -> L2Distance

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl DistanceMetric for L2Distance

fn distance(&self, a: &[f32], b: &[f32]) -> f32

Compute the distance between two vectors.

fn name(&self) -> &str

Human-readable name of this metric (e.g., "cosine", "l2").

impl Copy for L2Distance