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87396ebe58
* 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
43 lines
1.3 KiB
PHP
43 lines
1.3 KiB
PHP
<?php
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declare(strict_types=1);
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namespace tests\Clustering;
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use Phpml\Clustering\FuzzyCMeans;
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class FuzzyCMeansTest extends \PHPUnit_Framework_TestCase
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{
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public function testFCMSamplesClustering()
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{
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$samples = [[1, 1], [8, 7], [1, 2], [7, 8], [2, 1], [8, 9]];
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$fcm = new FuzzyCMeans(2);
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$clusters = $fcm->cluster($samples);
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$this->assertCount(2, $clusters);
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foreach ($samples as $index => $sample) {
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if (in_array($sample, $clusters[0]) || in_array($sample, $clusters[1])) {
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unset($samples[$index]);
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}
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}
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$this->assertCount(0, $samples);
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return $fcm;
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}
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public function testMembershipMatrix()
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{
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$fcm = $this->testFCMSamplesClustering();
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$clusterCount = 2;
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$sampleCount = 6;
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$matrix = $fcm->getMembershipMatrix();
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$this->assertCount($clusterCount, $matrix);
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foreach ($matrix as $row) {
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$this->assertCount($sampleCount, $row);
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}
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// Transpose of the matrix
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array_unshift($matrix, null);
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$matrix = call_user_func_array('array_map', $matrix);
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// All column totals should be equal to 1 (100% membership)
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foreach ($matrix as $col) {
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$this->assertEquals(1, array_sum($col));
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}
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}
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} |