Enum hdbscan::DistanceMetric

pub enum DistanceMetric {
    Euclidean,
    Manhattan,
    Chebyshev,
}

Possible distance metrics that can be used in the HDBSCAN algorithm when calculating the distances between data points.

Variants

Euclidean

Manhattan

Chebyshev

Trait Implementations

impl Clone for DistanceMetric

fn clone(&self) -> DistanceMetric

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DistanceMetric

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DistanceMetric

fn eq(&self, other: &DistanceMetric) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for DistanceMetric

impl StructuralPartialEq for DistanceMetric