Trait KMeans 

pub trait KMeans<A> {
    // Required method
    fn k_means(
        &self,
        instance_axis: Axis,
        k: usize,
        initial_centroids: impl InitialCentroids<A>,
        stop_condition: impl StopCondition<A>,
    ) -> (Array2<A>, A);
}

Trait for types that implement k-means clustering.

Required Methods

fn k_means( &self, instance_axis: Axis, k: usize, initial_centroids: impl InitialCentroids<A>, stop_condition: impl StopCondition<A>, ) -> (Array2<A>, A)

Perform k-means clustering.

Performs k-means clustering on the matrix of instances along the given instance_axis.

Returns the k x d matrix of cluster centroids and the mean mean-squared error.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl<'a, S, A> KMeans<A> for ArrayBase<S, Ix2>

where S: Data<Elem = A>, A: NdFloat + Sum, usize: AsPrimitive<A>,

fn k_means( &self, instance_axis: Axis, k: usize, initial_centroids: impl InitialCentroids<A>, stop_condition: impl StopCondition<A>, ) -> (Array2<A>, A)

Implementors