import { Dataset } from './common';
export interface MakeBlobsProps {
    /**
     * total number of samples (split as evenly as possible between the
     * clusters), or an array with the number of samples per cluster
     */
    nSamples?: number | number[];
    /** number of features per sample (ignored when explicit centers are given) */
    nFeatures?: number;
    /**
     * number of centers to generate uniformly inside `centerBox`, or an
     * explicit array of center coordinates of shape [nCenters][nFeatures]
     */
    centers?: number | number[][];
    /** standard deviation of the clusters; a single value or one per cluster */
    clusterStd?: number | number[];
    /** bounding box [min, max] for randomly generated centers */
    centerBox?: [number, number];
    /** shuffle the samples (default true) */
    shuffle?: boolean;
    /** seed for reproducible output */
    randomState?: number;
}
/**
 * Generates isotropic Gaussian blobs for clustering
 * (port of sklearn.datasets.make_blobs).
 */
export declare function makeBlobs(props?: MakeBlobsProps): Dataset;