KMeans::acluster() - Code Metrics - Inspection of "KMeans associative clustering added" - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Pull Request — master (#262)

unknown

created 2018-03-08 16:13 UTC

KMeans::acluster() A

↳ Parent: KMeans

Complexity

Conditions	3
Paths	4

Size

Total Lines	14
Code Lines	8

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
dl	0
loc	14
rs	9.4285
c	0
b	0
f	0
cc	3
eloc	8
nc	4
nop	1

<?php

declare(strict_types=1);

namespace Phpml\Clustering;

use Phpml\Clustering\KMeans\Space;
use Phpml\Exception\InvalidArgumentException;

class KMeans implements Clusterer
{
    public const INIT_RANDOM = 1;

    public const INIT_KMEANS_PLUS_PLUS = 2;

    /**
     * @var int
     */
    private $clustersNumber;

    /**
     * @var int
     */
    private $initialization;

    public function __construct(int $clustersNumber, int $initialization = self::INIT_KMEANS_PLUS_PLUS)
    {
        if ($clustersNumber <= 0) {
            throw new InvalidArgumentException('Invalid clusters number');
        }

        $this->clustersNumber = $clustersNumber;
        $this->initialization = $initialization;
    }

    public function cluster(array $samples): array
    {
        $space = new Space(count($samples[0]));
        foreach ($samples as $sample) {
            $space->addPoint($sample);
        }

        $clusters = [];
        foreach ($space->cluster($this->clustersNumber, $this->initialization) as $cluster) {
            $clusters[] = $cluster->getPoints();
        }

        return $clusters;
    }

    public function acluster(array $samples): array
    {
        $space = new Space(count(reset($samples)));
        foreach ($samples as $key => $sample) {
            $space->addPointWithLabels($sample, $key);
        }

        $clusters = [];
        foreach ($space->cluster($this->clustersNumber, $this->initialization) as $cluster) {
            $clusters[] = $cluster->getPointsWithLabels();
        }

        return $clusters;
    }
}


1			<?php
2
3			declare(strict_types=1);
4
5			namespace Phpml\Clustering;
6
7			use Phpml\Clustering\KMeans\Space;
8			use Phpml\Exception\InvalidArgumentException;
9
10			class KMeans implements Clusterer
11			{
12			public const INIT_RANDOM = 1;
13
14			public const INIT_KMEANS_PLUS_PLUS = 2;
15
16			/**
17			* @var int
18			*/
19			private $clustersNumber;
20
21			/**
22			* @var int
23			*/
24			private $initialization;
25
26			public function __construct(int $clustersNumber, int $initialization = self::INIT_KMEANS_PLUS_PLUS)
27			{
28			if ($clustersNumber <= 0) {
29			throw new InvalidArgumentException('Invalid clusters number');
30			}
31
32			$this->clustersNumber = $clustersNumber;
33			$this->initialization = $initialization;
34			}
35
36			public function cluster(array $samples): array
37			{
38			$space = new Space(count($samples[0]));
39			foreach ($samples as $sample) {
40			$space->addPoint($sample);
41			}
42
43			$clusters = [];
44			foreach ($space->cluster($this->clustersNumber, $this->initialization) as $cluster) {
45			$clusters[] = $cluster->getPoints();
46			}
47
48			return $clusters;
49			}
50
51			public function acluster(array $samples): array
52			{
53			$space = new Space(count(reset($samples)));
54			foreach ($samples as $key => $sample) {
55			$space->addPointWithLabels($sample, $key);
56			}
57
58			$clusters = [];
59			foreach ($space->cluster($this->clustersNumber, $this->initialization) as $cluster) {
60			$clusters[] = $cluster->getPointsWithLabels();
61			}
62
63			return $clusters;
64			}
65			}
66

php-ai / php-ml

Pull Request — master (#262)

KMeans::acluster() A

Complexity

Size

Duplication

Importance

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