import type { ClusteringMetric, DataMatrix, LabelVector } from './types';
/**
 * A cluster with no assigned samples has index `-1` and distance `Infinity`.
 * Library-defined: scikit-learn exposes no equivalent attribute.
 */
export interface MedoidResult {
    indices: Int32Array;
    distances: Float32Array;
}
/**
 * O(n·d): each cluster mean is a single pass, no n×n pairwise matrix is materialised.
 * Noise samples (label `-1`) and labels outside `0..n_clusters-1` are ignored.
 * Ties break towards the lowest sample index.
 */
export declare function select_medoids(X: DataMatrix, labels: LabelVector, n_clusters: number, metric?: ClusteringMetric): Promise<MedoidResult>;