Struct Som 

pub struct Som {
    pub grid_w: usize,
    pub grid_h: usize,
    pub dim: usize,
    /* private fields */
}

A trained self-organizing map: a grid_w × grid_h lattice of dim-vectors.

Fields

grid_w: usize

grid_h: usize

dim: usize

Implementations

impl Som

pub fn bmu(&self, input: &[f64]) -> (usize, usize)

Best-matching unit (grid coords) for an input vector — the nearest neuron.

pub fn train( data: &[f64], n: usize, dim: usize, grid_w: usize, grid_h: usize, epochs: usize, lr0: f64, sigma0: f64, seed: u64, ) -> Result<Self, LearningError>

Train a grid_w × grid_h SOM on a row-major n × dim data matrix for epochs, with initial learning rate lr0 and neighbourhood radius sigma0 (both decaying exponentially). Fails closed on shape mismatch.

Trait Implementations

impl Clone for Som

fn clone(&self) -> Som

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Som

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

Formats the value using the given formatter.