Lp distance between ndarrays
npm install ndarray-distancendarray-distance
================
Computes the Lp distance between two ndarrays. Works both in node.js and in browserify.
javascript
var distance = require("ndarray-distance")
var ndarray = require("ndarray")
//Create two arrays
var a = ndarray([1, 2, 3, 4, 5])
var b = ndarray([0, 2, 3, 10, 6])
//First compute sum of squared distances
var l2Dist = distance(a, b)
//Can also compute l1 distance (absolute difference)
var l1Dist = distance(a, b, 1)
//And maximum distance
var linfDist = distance(a, b, Infinity)
//And any other Lp distance as well
var l3Dist = distance(a, b, 3)
`
Install
Install using npm:
npm install ndarray-distance
API
#### require("ndarray-distance")(a, b[, p])
Computes the Lp distance between two ndarrays a and b. That is,
`
dist(a,b,p) = ( sum |a[i] - b[i]|^p )^(1/p)
`
Note that here a and b do not have to be vectors and can be images or volumes.
* a and b are both ndarrays with the same shape
* p is a parameter that determines the exponent of the metric. The default value is p=2
Special values of p include:
* p=0 which counts the number of entries where a and b differ
* p=1 which is the absolute difference between a and b
* p=2 which is the ordinary Euclidean sum of squared differences
* p=Infinity which is the maximum absolute difference between a and b
Returns The Lp distance between a and b`