PHP Phpml\Clustering KMeans::cluster Examples

cluster() public method

public cluster ( array $samples ) : array
$samples	array
return	array

Example #1

File: KMeansTest.php Project: php-ai/php-ml

 public function testKMeansInitializationMethods()
 {
     $samples = [[180, 155], [186, 159], [119, 185], [141, 147], [157, 158], [176, 122], [194, 160], [113, 193], [190, 148], [152, 154], [162, 146], [188, 144], [185, 124], [163, 114], [151, 140], [175, 131], [186, 162], [181, 195], [147, 122], [143, 195], [171, 119], [117, 165], [169, 121], [159, 160], [159, 112], [115, 122], [149, 193], [156, 135], [118, 120], [139, 159], [150, 115], [181, 136], [167, 162], [132, 115], [175, 165], [110, 147], [175, 118], [113, 145], [130, 162], [195, 179], [164, 111], [192, 114], [194, 149], [139, 113], [160, 168], [162, 110], [174, 144], [137, 142], [197, 160], [147, 173]];
     $kmeans = new KMeans(4, KMeans::INIT_KMEANS_PLUS_PLUS);
     $clusters = $kmeans->cluster($samples);
     $this->assertEquals(4, count($clusters));
     $kmeans = new KMeans(4, KMeans::INIT_RANDOM);
     $clusters = $kmeans->cluster($samples);
     $this->assertEquals(4, count($clusters));
 }