php-ml/tests/Phpml/Clustering/FuzzyCMeansTest.php
Mustafa Karabulut 87396ebe58 DecisionTree and Fuzzy C Means classifiers (#35)
* Fuzzy C-Means implementation

* Update FuzzyCMeans

* Rename FuzzyCMeans to FuzzyCMeans.php

* Update NaiveBayes.php

* Small fix applied to improve training performance

array_unique is replaced with array_count_values+array_keys which is way
faster

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* Revert "Revert "Small fix applied to improve training performance""

This reverts commit ea10e136c4c11b71609ccdcaf9999067e4be473e.

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* DecisionTree

* FCM Test

* FCM Test

* DecisionTree Test
2017-01-31 20:27:15 +01:00

43 lines
1.3 KiB
PHP

<?php
declare(strict_types=1);
namespace tests\Clustering;
use Phpml\Clustering\FuzzyCMeans;
class FuzzyCMeansTest extends \PHPUnit_Framework_TestCase
{
public function testFCMSamplesClustering()
{
$samples = [[1, 1], [8, 7], [1, 2], [7, 8], [2, 1], [8, 9]];
$fcm = new FuzzyCMeans(2);
$clusters = $fcm->cluster($samples);
$this->assertCount(2, $clusters);
foreach ($samples as $index => $sample) {
if (in_array($sample, $clusters[0]) || in_array($sample, $clusters[1])) {
unset($samples[$index]);
}
}
$this->assertCount(0, $samples);
return $fcm;
}
public function testMembershipMatrix()
{
$fcm = $this->testFCMSamplesClustering();
$clusterCount = 2;
$sampleCount = 6;
$matrix = $fcm->getMembershipMatrix();
$this->assertCount($clusterCount, $matrix);
foreach ($matrix as $row) {
$this->assertCount($sampleCount, $row);
}
// Transpose of the matrix
array_unshift($matrix, null);
$matrix = call_user_func_array('array_map', $matrix);
// All column totals should be equal to 1 (100% membership)
foreach ($matrix as $col) {
$this->assertEquals(1, array_sum($col));
}
}
}