import * as tf from '../backend/adapter';
import { DataMatrix, LabelVector } from '../clustering/types';
export declare function validate_labels_length(X: DataMatrix, labels: LabelVector): void;
/** `owns_tensor` is true when X was an array — the caller must then dispose the returned tensor. */
export declare function convert_validation_inputs(X: DataMatrix, labels: LabelVector): {
    data: tf.Tensor2D;
    label_array: number[];
    owns_tensor: boolean;
};
/**
 * Density-based estimators emit `-1` for samples that belong to no cluster.
 * Internal-validation metrics measure cohesion and separation of genuine
 * clusters, so noise samples must be removed before any distance or dispersion
 * is computed. The returned `had_noise` flag lets callers distinguish a
 * genuine degenerate input (fewer than two clusters, no noise — an error) from
 * a noise-induced degenerate input (fewer than two clusters remain only after
 * filtering — a defined, non-throwing result).
 */
export declare function noise_filtered_indices(label_array: number[]): {
    keep: number[];
    had_noise: boolean;
};
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