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Computes the Lp distance between two ndarrays. Works both in node.js and in browserify.
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 using npm:
npm install ndarray-distance
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 shapep
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
differp=1
which is the absolute difference between a
and b
p=2
which is the ordinary Euclidean sum of squared differencesp=Infinity
which is the maximum absolute difference between a
and b
Returns The Lp distance between a
and b
(c) 2014 Mikola Lysenko. MIT License