Struct EntropyNCD 

pub struct EntropyNCD {
    pub base: usize,
    pub correction: f64,
}

Entropy-based Normalized Compression Distance.

It shows how different two inputs are based on their Entropy.

Fields

base: usize

The base of logarithm for the entropy calculation. Default: 2.

correction: f64

A non-negative base value to add to entropy of all inputs, so that the entropy is never zero. It accounts for all real-world compression algorithms having a fixed header with metadata. Default: 1.

Trait Implementations

impl Algorithm<f64> for EntropyNCD

fn for_iter<C, E>(&self, s1: C, s2: C) -> Result<f64>

where C: Iterator<Item = E>, E: Eq + Hash,

Calculate distance/similarity for iterators.

fn for_vec<E>(&self, s1: &[E], s2: &[E]) -> Result<R>

where E: Eq + Hash,

Calculate distance/similarity for vectors.

fn for_str(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for strings.

fn for_words(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for words in strings.

fn for_bigrams(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for bigrams in strings.

impl Default for EntropyNCD

fn default() -> Self

Returns the “default value” for a type.