README

This package provide calculation of datamining Algorithm, Current Algorithm that can be used is KMeans, C45 on working.

Installation

You can install the package via composer:

composer require fanboykun/datamining

Usage

Use the class

use Fanboykun\Datamining\Datamining

In this example, we going to use KMeans

example of the data go give

$points = Study::all()->map(function ($study, $k) {
        return [
            'key' => $study->student_id,
            'val' => [
            $study->matematika,
            $study->fisika,
            $study->kimia,
            $study->biologi,
            $study->sejarah,
            $study->akuntansi,
            $study->sosiologi,
            $study->geografi,
            ],
        ];
    })->toArray();

use one of the available method, init the custructor

// example, we use KMeans, init with desired space (data example above)
$space = (new Datamining)->initKMeans(8)

add all point into space

// give the array of the data as the point to insert into space as the first parameter
// give the key of the points(data to calculate) as the second parameter
// give to value of the data to calculate as the third parameter
 $space->addAllPointToSpace($points, 'key', 'val');

execute the calulation

// the required arguments are :

// the number of the cluster you want to set
// int $numberOfCluster

// the initialization method (set to 3 for set the first centroid manually)
// $initMethod = 1

// give the index of the array of the points you want set as the first centroid
// $selectedPoints = []
$dataset = $space->solveWithIterationCallback(2, 3, [0,1]);

Changelog

Please see CHANGELOG for more information what has changed recently.

Contributing

Please see CONTRIBUTING for details.

Security

If you discover any security related issues, please email irfanramadhan1812@gmail.com instead of using the issue tracker.

Credits

fanboykun

License

The MIT License (MIT). Please see License File for more information

fanboykun / datamining

Maintainers

Details