Trait reductive::kmeans::KMeansIteration

pub trait KMeansIteration<A> {
    fn kmeans_iteration(
        &self, 
        instance_axis: Axis, 
        centroids: ArrayViewMut2<'_, A>
    ) -> A;
}

Trait for types that implement a single k-means step.

Required methods

fn kmeans_iteration(
    &self,
    instance_axis: Axis,
    centroids: ArrayViewMut2<'_, A>
) -> A

Perform a single iteration of k-means clustering.

Performs a single iteration of k-means clustering on the matrix of instances alonginstance_axis using the given centroids.

Returns the mean squared error.

Implementations on Foreign Types

impl<S, A> KMeansIteration<A> for ArrayBase<S, Ix2> where
    S: Data<Elem = A>,
    A: NdFloat + Sum,
    usize: AsPrimitive<A>, 

fn kmeans_iteration(
    &self,
    instance_axis: Axis,
    centroids: ArrayViewMut2<'_, A>
) -> A

Implementors