/**
 * Centroid-linkage Agglomerative Hierarchical Clustering.
 * Reproduces scipy.cluster.hierarchy.linkage(method="centroid", metric="euclidean")
 * + fcluster(t=threshold, criterion="distance"), used by pyannote VBxClustering
 * to seed VBx.
 *
 * Operates on row-major (N, D) data. Returns a 0-based integer label per row.
 */
import type { Mat } from "../math/linalg.js";
/**
 * Centroid-linkage AHC stop criterion: stop merging when the next merge
 * would have euclidean distance >= threshold. Returns 0..K-1 labels.
 *
 * Note: centroid linkage is non-monotone, but for the typical scenario
 * (well-separated clusters, modest N) the simple "stop at threshold" rule
 * matches scipy's fcluster(criterion="distance") closely enough for VBx init.
 */
export declare function centroidLinkageCluster(data: Mat, threshold: number): Int32Array;
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