/**
 * ## Description
 *
 * Creates classes with equal number of observations by:
 * - Sorting values in ascending order
 * - Dividing sorted values into bins with equal number of observations
 *
 * ## Characteristics
 * - Well-suited for ordinal data
 * - May place similar values in different classes
 * - Useful for comparing relative rankings across different areas
 *
 * @example
 * ```ts
 * import { quantileBreaks } from '@geoda/core';
 *
 * const data = [1, 2, 3, 4, 5, 6, 7, 8, 9];
 * const k = 3;
 * const breaks = await quantileBreaks(k, data);
 * // breaks = [3.5, 6.5]
 * ```
 *
 * @param k The number of classes/categories
 * @param data The numeric values to be classified
 * @returns The breaks values
 */
export declare function quantileBreaks(k: number, data: number[] | Float32Array): Promise<number[]>;