/** @import {InputType} from "../index.js" */
/** @import {ParametersSMACOF} from "./index.js" */
/**
 * Metric Multidimensional Scaling (MDS) via SMACOF.
 *
 * SMACOF (Scaling by Majorizing a Complicated Function) is an iterative majorization
 * algorithm for solving metric multidimensional scaling problems, which aims to
 * minimize the stress function.
 *
 * @class
 * @template {InputType} T
 * @extends DR<T, ParametersSMACOF>
 * @category Dimensionality Reduction
 * @see {@link MDS} for the classical approach.
 */
export class SMACOF<T extends InputType> extends DR<T, ParametersSMACOF> {
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersSMACOF>} [parameters]
   * @returns {T}
   */
  static transform<T_1 extends InputType>(X: T_1, parameters?: Partial<ParametersSMACOF>): T_1;
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersSMACOF>} [parameters]
   * @returns {Generator<T, T, void>}
   */
  static generator<T_1 extends InputType>(
    X: T_1,
    parameters?: Partial<ParametersSMACOF>,
  ): Generator<T_1, T_1, void>;
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersSMACOF>} [parameters]
   * @returns {Promise<T>}
   */
  static transform_async<T_1 extends InputType>(
    X: T_1,
    parameters?: Partial<ParametersSMACOF>,
  ): Promise<T_1>;
  /**
   * SMACOF for MDS.
   *
   * @param {T} X - The high-dimensional data or precomputed distance matrix.
   * @param {Partial<ParametersSMACOF>} [parameters] - Object containing parameterization.
   */
  constructor(X: T, parameters?: Partial<ParametersSMACOF>);
  /**
   * @returns {Generator<T, T, void>} A generator yielding the intermediate steps of the projection.
   */
  generator(): Generator<T, T, void>;
  /**
   * @returns {T}
   */
  transform(): T;
}
import type { InputType } from "../index.js";
import type { ParametersSMACOF } from "./index.js";
import { DR } from "./DR.js";
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