https://github.com/dy/array-normalize

Normalize array to zero mean and unit variance
https://github.com/dy/array-normalize

array dsp math statistics

Last synced: 10 days ago
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Normalize array to zero mean and unit variance

• Host: GitHub
• URL: https://github.com/dy/array-normalize
• Owner: dy
• License: mit
• Created: 2017-01-24T13:31:40.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2024-07-12T21:14:31.000Z (4 months ago)
• Last Synced: 2024-10-20T12:55:37.950Z (17 days ago)
• Topics: array, dsp, math, statistics
• Language: JavaScript
• Size: 12.7 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: license

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README

        
# array-normalize  [![experimental](https://img.shields.io/badge/stability-unstable-yellow.svg)](http://github.com/badges/stability-badges) [![Build Status](https://img.shields.io/travis/dy/array-normalize.svg)](https://travis-ci.com/dy/array-normalize)

Normalize array to unit length, that is 0..1 range. See [feature scaling](https://en.wikipedia.org/wiki/Feature_scaling).

[![npm install array-normalize](https://nodei.co/npm/array-normalize.png?mini=true)](https://npmjs.org/package/array-normalize/)

```js

const normalize = require('array-normalize')

normalize([0, 50, 100]) // [0, .5, 1]

normalize([0, 0, .1, .2, 1, 2], 2) // [0, 0, .1, .1, 1, 1]

normalize([0, .25, 1, .25], 2, [0, .5, 1, .5]) // [0, .5, 1, .5])

```

## API

### array = normalize(array, stride=1, bounds?)

Normalizes n-dimensional array in-place using optional stride for n-dimensions, ie. for 2d data layout is `[x, y, x, y, ...]`.

Every dimension is normalized independently, eg. 2d array is normalized to unit square `[0, 0, 1, 1]`.

Optional `bounds` box can predefine min/max to skip bounds detection.

ॐ