/**
 * Nearest centroid classifier
 */
export default class NearestCentroid {
    /**
     * @param {'euclid' | 'manhattan' | 'chebyshev' | 'minkowski' | function (number[], number[]): number} [metric] Metric name
     */
    constructor(metric?: 'euclid' | 'manhattan' | 'chebyshev' | 'minkowski' | ((arg0: number[], arg1: number[]) => number));
    _c: any[];
    _metric: "euclid" | "manhattan" | "chebyshev" | "minkowski" | ((arg0: number[], arg1: number[]) => number);
    _d: (a: any, b: any) => any;
    /**
     * Add a data.
     * @param {number[]} point Training data
     * @param {*} category Target value
     */
    add(point: number[], category: any): void;
    /**
     * Add datas.
     * @param {Array<Array<number>>} datas Training data
     * @param {*[]} targets Target values
     */
    fit(datas: Array<Array<number>>, targets: any[]): void;
    /**
     * Returns predicted categories.
     * @param {Array<Array<number>>} datas Sample data
     * @returns {*[]} Predicted values
     */
    predict(datas: Array<Array<number>>): any[];
}