Struct KMeansConfig 

pub struct KMeansConfig {
    pub k: usize,
    pub max_iterations: usize,
    pub convergence_threshold: f32,
    pub seed: Option<u64>,
}

Configuration for k-means clustering.

Fields

k: usize

Number of clusters (centroids).

max_iterations: usize

Maximum number of iterations.

convergence_threshold: f32

Convergence threshold (stop if centroid movement < threshold).

seed: Option<u64>

Random seed for reproducibility.

Implementations

impl KMeansConfig

pub fn new(k: usize) -> Self

Create a new k-means configuration.

pub const fn with_max_iterations(self, iterations: usize) -> Self

Set the maximum number of iterations.

pub const fn with_convergence_threshold(self, threshold: f32) -> Self

Set the convergence threshold.

pub const fn with_seed(self, seed: u64) -> Self

Set the random seed.

Trait Implementations

impl Clone for KMeansConfig

fn clone(&self) -> KMeansConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KMeansConfig

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

Formats the value using the given formatter.

impl Default for KMeansConfig

fn default() -> Self

Returns the “default value” for a type.