/**
 * Calculates the distance matrix for a given array of points
 * @ignore
 * @param data - the [x,y,z,...] points to cluster
 * @param distance - Distance function to use between the points
 * @returns - matrix with the distance values
 */
export declare function calculateDistanceMatrix(data: number[][], distance: (a: number[], b: number[]) => number): number[][];
/**
 * Updates the cluster identifier based in the new data
 * @ignore
 * @param data - the [x,y,z,...] points to cluster
 * @param centers - the K centers in format [x,y,z,...]
 * @param clusterID - the cluster identifier for each data dot
 * @param distance - Distance function to use between the points
 * @returns the cluster identifier for each data dot
 */
export declare function updateClusterID(data: number[][], centers: number[][], clusterID: number[], distance: (a: number[], b: number[]) => number): number[];
/**
 * Update the center values based in the new configurations of the clusters
 * @ignore
 * @param prevCenters - Centroids from the previous iteration
 * @param data - the [x,y,z,...] points to cluster
 * @param clusterID - the cluster identifier for each data dot
 * @param K - Number of clusters
 * @returns the K centers in format [x,y,z,...]
 */
export declare function updateCenters(prevCenters: number[][], data: number[][], clusterID: number[], K: number): number[][];
/**
 * The centers have moved more than the tolerance value?
 * @ignore
 * @param centers - the K centers in format [x,y,z,...]
 * @param oldCenters - the K old centers in format [x,y,z,...]
 * @param distanceFunction - Distance function to use between the points
 * @param tolerance - Allowed distance for the centroids to move
 * @returns `true` when every center moved less than the tolerance.
 */
export declare function hasConverged(centers: number[][], oldCenters: number[][], distanceFunction: (a: number[], b: number[]) => number, tolerance: number): boolean;
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