Enum Metric 

pub enum Metric {
    Euclidean,
    Manhattan,
    Chebyshev,
    Cosine,
    Correlation,
}

Distance metrics for hierarchical clustering

Variants

Euclidean

Euclidean distance (L2 norm)

Manhattan

Manhattan distance (L1 norm)

Chebyshev

Maximum distance (L∞ norm)

Cosine

Cosine distance (1 - cosine similarity)

Correlation

Correlation distance (1 - correlation)

Trait Implementations

impl Clone for Metric

fn clone(&self) -> Metric

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Metric

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

Formats the value using the given formatter.

impl PartialEq for Metric

fn eq(&self, other: &Metric) -> 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 Metric

impl Eq for Metric

impl StructuralPartialEq for Metric