miqdadm/multidistance

There is no license information available for the latest version (2.0.0) of this package.

Calculate Multiple Distance Based Similarity Method

2.0.0 2016-08-20 03:51 UTC

Requires (Dev)

• phpunit/phpunit: *

Unknown License

• M. Miqdad

• euclidean
• manhatan
• minkowski
• chebychef
• canbera
• bray curtis
• kullback leibler
• jensen shannon

README

Calculate 2 Vektor Using 8 Distance Based Similarity Method :

• Euclidean Distance Method
• Manhatan Distance Method
• Minkowski Distance Method
• Chebychef Distance Method
• Canbera Distance Method
• Bray Curtis Distance Method
• Kullback Leibler Distance Method
• Jensen Shannon Distance Method

Requirements

PHP 5.4 +

Installation

Run via composer

composer require miqdadm/multidistance

Or, you can put into your composer.json file.

"require": {
  "miqdadm/multidistance": "*"
}

Then run composer update

composer update

Basic Usage

<?php

require 'vendor/autoload.php';
use MiqdadM\Multidistance\multidistance as Calculate;

$test = new Calculate([4, 3, 6], [2, 3, 7]);
$test->distance(); //do this method first

echo 'Euclidean Distance Method';
echo'<pre>';
print_r($test->getEuclidean()); // 2.2360679774998
echo'</pre>';

echo '</br>';
echo 'Manhatan (City Block) Distance Method';
echo'<pre>';
print_r($test->getManhatan()); // 3
echo'</pre>';

echo '</br>';
echo 'Minkowski Distance (&#955 = 3) Method';
echo'<pre>';
print_r($test->getMinkowski()); // 1.9129311827724
echo'</pre>';

echo '</br>';
echo 'Chebychef Distance Method';
echo'<pre>';
print_r($test->getChebychef()); // 2
echo'</pre>';

echo '</br>';
echo 'Canbera Distance Method';
echo'<pre>';
print_r($test->getCanbera()); // 0.41025641025641
echo'</pre>';

echo '</br>';
echo 'Bray Curtis Distance Method';
echo'<pre>';
print_r($test->getBrayCurtis()); // 0.12
echo'</pre>';

echo '</br>';
echo 'Kullback Leibler Distance Method';
echo'<pre>';
print_r($test->getKullbackLeibler()); // 1.8476846432762
echo'</pre>';

echo '</br>';
echo 'Jensen Shannon Distance Method';
echo'<pre>';
print_r($test->getJensenShannon()); // 0.37829763262563
echo'</pre>';