/**
 * @license
 * Copyright 2025 Steven Roussey <sroussey@gmail.com>
 * SPDX-License-Identifier: Apache-2.0
 */
import type { TypedArray } from "./TypedArray";
/**
 * Calculates cosine similarity between two vectors
 * Returns a value between -1 and 1, where 1 means identical direction
 */
export declare function cosineSimilarity(a: TypedArray, b: TypedArray): number;
/**
 * Calculates Jaccard similarity between two vectors
 * Uses the formula: sum(min(a[i], b[i])) / sum(max(a[i], b[i]))
 * Returns a value between 0 and 1
 * For negative values, normalizes by finding the global min and shifting to non-negative range
 */
export declare function jaccardSimilarity(a: TypedArray, b: TypedArray): number;
/**
 * Calculates Hamming distance between two vectors (normalized)
 * Counts the number of positions where vectors differ
 * Returns a value between 0 and 1 (0 = identical, 1 = completely different)
 */
export declare function hammingDistance(a: TypedArray, b: TypedArray): number;
/**
 * Calculates Hamming similarity (inverse of distance)
 * Returns a value between 0 and 1 (1 = identical, 0 = completely different)
 */
export declare function hammingSimilarity(a: TypedArray, b: TypedArray): number;
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