# distance-matrix

**Repository Path**: mirrors_mljs/distance-matrix

## Basic Information

- **Project Name**: distance-matrix
- **Description**: Compute a distance-matrix based on a custom distance function
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-03-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# distance-matrix

[![NPM version][npm-image]][npm-url]
[![Test coverage][codecov-image]][codecov-url]
[![npm download][download-image]][download-url]

Compute a distance/similarity matrix.

## Installation

`npm i ml-distance-matrix`

## [API Documentation](https://mljs.github.io/distance-matrix/)

## Example

```js
const distanceMatrix = require('ml-distance-matrix');
const { euclidean } = require('ml-distance-euclidean');

// Computes euclidan distance for each pair of possible vectors
const matrix = distanceMatrix([[8, -1, 2], [-4, 0, 3], [-3, -1, 6]], euclidean);
```

## License

[MIT](./LICENSE)

[npm-image]: https://img.shields.io/npm/v/ml-distance-matrix.svg?style=flat-square
[npm-url]: https://npmjs.org/package/ml-distance-matrix
[codecov-image]: https://img.shields.io/codecov/c/github/mljs/distance-matrix.svg?style=flat-square
[codecov-url]: https://codecov.io/gh/mljs/distance-matrix
[download-image]: https://img.shields.io/npm/dm/ml-distance-matrix.svg?style=flat-square
[download-url]: https://npmjs.org/package/ml-distance-matrix