pub fn euclidean<T: Number, U: Float>(x: &[T], y: &[T]) -> U
Expand description
Euclidean distance between two vectors.
Also known as the L2-norm, the Euclidean distance is defined as the square root of the sum of the squares of the absolute differences between the corresponding elements of the two vectors.
See the crate::vectors
module documentation for information on this
function’s potentially unexpected behaviors
§Arguments
x
- The first slice ofNumber
s.y
- The second slice ofNumber
s.
§Examples
use distances::vectors::euclidean;
let x: Vec<f64> = vec![1.0, 2.0, 3.0];
let y: Vec<f64> = vec![4.0, 5.0, 6.0];
let distance: f64 = euclidean(&x, &y);
assert!((distance - (27.0_f64).sqrt()).abs() <= f64::EPSILON);