Struct smartcore::cluster::kmeans::KMeansParameters

pub struct KMeansParameters {
    pub k: usize,
    pub max_iter: usize,
}

K-Means clustering algorithm parameters

Fields

k: usize

Number of clusters.

max_iter: usize

Maximum number of iterations of the k-means algorithm for a single run.

Implementations

impl KMeansParameters

pub fn with_k(self, k: usize) -> Self

Number of clusters.

pub fn with_max_iter(self, max_iter: usize) -> Self

Maximum number of iterations of the k-means algorithm for a single run.

Trait Implementations

impl Clone for KMeansParameters

pub fn clone(&self) -> KMeansParameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for KMeansParameters

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

Formats the value using the given formatter.

impl Default for KMeansParameters

pub fn default() -> Self

Returns the "default value" for a type.

impl<T: RealNumber + Sum, M: Matrix<T>> UnsupervisedEstimator<M, KMeansParameters> for KMeans<T>

pub fn fit(x: &M, parameters: KMeansParameters) -> Result<Self, Failed>

Fit a model to a training dataset, estimate model's parameters.