/** @import {InputType} from "../index.js" */ /** @import {ParametersISOMAP} from "./index.js" */ /** @import {EigenArgs} from "../linear_algebra/index.js" */ /** * Isomap (Isometric Mapping) * * A nonlinear dimensionality reduction algorithm that uses geodesic distances * between points on a manifold to perform embedding. It builds a neighborhood * graph and uses MDS on the shortest-path distances. * * @class * @template {InputType} T * @extends DR * @category Dimensionality Reduction * @see {@link LLE} for another nonlinear alternative */ export class ISOMAP extends DR { /** * @template {InputType} T * @param {T} X * @param {Partial} [parameters] * @returns {T} */ static transform(X: T_1, parameters?: Partial): T_1; /** * @template {InputType} T * @param {T} X * @param {Partial} [parameters] * @returns {Generator} */ static generator( X: T_1, parameters?: Partial, ): Generator; /** * @template {InputType} T * @param {T} X * @param {Partial} [parameters] * @returns {Promise} */ static transform_async( X: T_1, parameters?: Partial, ): Promise; /** * Isometric feature mapping (ISOMAP). * * @param {T} X - The high-dimensional data. * @param {Partial} [parameters] - Object containing parameterization of the DR method. * @see {@link https://doi.org/10.1126/science.290.5500.2319} */ constructor(X: T, parameters?: Partial); defaults: ParametersISOMAP; /** * Computes the projection. * * @returns {Generator} A generator yielding the intermediate steps of the projection. */ generator(): Generator; /** * @returns {T} */ transform(): T; } import type { InputType } from "../index.js"; import type { ParametersISOMAP } from "./index.js"; import { DR } from "./DR.js"; //# sourceMappingURL=ISOMAP.d.ts.map