/**
 * ## Description
 * Hinge Box Breaks calculates a list of breakpoints, including the top, bottom, median, and two quartiles of the data, with hinge value 1.5.
 * The categories include: Lower outlier, < 25%, [25-50)%, [50-75)%, >= 75%, Upper outlier
 *
 * ## Characteristics
 * - Fixed categories
 * - Effective for detecting spatial outliers and understanding data distribution
 *
 * @example
 * ```ts
 * import { hinge15Breaks } from '@geoda/core';
 *
 * const data = [1, 2, 3, 4, 5, 6, 7, 8, 9];
 * const breaks = await hinge15Breaks(data);
 *
 * // breaks1 = [-4, 2.75, 5, 7.25, 14]
 * ```
 *
 * @param data The numeric values to be classified.
 * @returns The breaks values.
 */
export declare function hinge15Breaks(data: number[] | Float32Array): Promise<number[]>;
/**
 * ## Description
 * Hinge Box Breaks calculates a list of breakpoints, including the top, bottom, median, and two quartiles of the data, with hinge value 1.5.
 * The categories include: Lower outlier, < 25%, [25-50)%, [50-75)%, >= 75%, Upper outlier
 *
 * ## Characteristics
 * - Fixed categories
 * - Effective for detecting spatial outliers and understanding data distribution
 *
 * @example
 * ```ts
 * import { hinge15Breaks } from '@geoda/core';
 *
 * const data = [1, 2, 3, 4, 5, 6, 7, 8, 9];
 * const breaks = await hinge15Breaks(data);
 *
 * // breaks2 = [-10.75, 2.75, 5, 7.25, 20.75]
 * ```
 *
 * @param data The numeric values to be classified.
 * @returns The breaks values.
 */
export declare function hinge30Breaks(data: number[] | Float32Array): Promise<number[]>;