Trait reductive::kmeans::KMeansWithCentroids

pub trait KMeansWithCentroids<A> {
    fn kmeans_with_centroids(
        &self, 
        instance_axis: Axis, 
        centroids: ArrayViewMut2<'_, A>, 
        stop_condition: impl StopCondition<A>
    ) -> A;
}

Trait for k-means clustering with an initial set of centroids.

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

Returns the mean squared error.

Required methods

fn kmeans_with_centroids(
    &self,
    instance_axis: Axis,
    centroids: ArrayViewMut2<'_, A>,
    stop_condition: impl StopCondition<A>
) -> A

Implementations on Foreign Types

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

fn kmeans_with_centroids(
    &self,
    instance_axis: Axis,
    centroids: ArrayViewMut2<'_, A>,
    stop_condition: impl StopCondition<A>
) -> A

Implementors