/** @import { InputType } from "../index.js" */
/** @import { ParametersFASTMAP } from "./index.js"; */
/**
 * FastMap algorithm for dimensionality reduction.
 *
 * A very fast algorithm for projecting high-dimensional data into a lower-dimensional
 * space while preserving pairwise distances. It works similarly to PCA but uses
 * only a subset of the data to find projection axes.
 *
 * @class
 * @template {InputType} T
 * @extends DR<T, ParametersFASTMAP>
 * @category Dimensionality Reduction
 */
export class FASTMAP<T extends InputType> extends DR<T, ParametersFASTMAP> {
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersFASTMAP>} parameters
   * @returns {T}
   */
  static transform<T_1 extends InputType>(X: T_1, parameters: Partial<ParametersFASTMAP>): T_1;
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersFASTMAP>} parameters
   * @returns {Generator<T, T, void>}
   */
  static generator<T_1 extends InputType>(
    X: T_1,
    parameters: Partial<ParametersFASTMAP>,
  ): Generator<T_1, T_1, void>;
  /**
   * @template {InputType} T
   * @param {T} X
   * @param {Partial<ParametersFASTMAP>} parameters
   * @returns {Promise<T>}
   */
  static transform_async<T_1 extends InputType>(
    X: T_1,
    parameters: Partial<ParametersFASTMAP>,
  ): Promise<T_1>;
  /**
   * FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets.
   * @param {T} X - The high-dimensional data.
   * @param {Partial<ParametersFASTMAP>} parameters - Object containing parameterization of the DR method.
   * @see {@link https://doi.org/10.1145/223784.223812}
   */
  constructor(X: T, parameters: Partial<ParametersFASTMAP>);
  /**
   * Chooses two points which are the most distant in the actual projection.
   *
   * @private
   * @param {(a: number, b: number) => number} dist
   * @returns {[number, number, number]} An array consisting of first index, second index, and distance between the
   *   two points.
   */
  private _choose_distant_objects;
  /**
   * Computes the projection.
   *
   * @returns {T} The `d`-dimensional projection of the data matrix `X`.
   */
  transform(): T;
  generator(): Generator<T, T, unknown>;
}
import type { InputType } from "../index.js";
import type { ParametersFASTMAP } from "./index.js";
import { DR } from "./DR.js";
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