import type { SOMTopology, SOMNeighborhood } from './types';
export interface MiniSomReferenceParams {
    /** MiniSom `x` dimension (number of columns). */
    grid_width: number;
    /** MiniSom `y` dimension (number of rows). */
    grid_height: number;
    topology: SOMTopology;
    neighborhood: SOMNeighborhood;
    learning_rate: number;
    /** Initial neighborhood radius `sigma0` (MiniSom `sigma`, the fixture `radius`). */
    sigma: number;
    /** Number of per-sample updates (MiniSom `num_iteration`, not epochs). */
    num_iteration: number;
}
export interface MiniSomReferenceResult {
    weights: number[][][];
    /** BMU grid coordinates per sample as `[row, col]`. */
    bmus: number[][];
    /** Flat cluster labels per sample (`row * grid_width + col`). */
    labels: number[];
    quantization_error: number;
    topographic_error: number;
    u_matrix: number[][];
}
export declare function train_minisom_reference(data: number[][], initial_weights: number[][][], params: MiniSomReferenceParams): MiniSomReferenceResult;