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Example code of medansoftware/kmeans-algorithm-php

Informations about the package kmeans-algorithm-php

PHP K-Means Library

A PHP implementation of the K-Means clustering algorithm.

Requirements

Installation

Install the library using Composer:

Usage

Include Composer's autoloader:

Example 1: Two-dimensional data

This example uses two attributes (A and B) and divides the data into two clusters.

Example 2: One-dimensional data

This example uses a single attribute and divides the data into three clusters.

Initial Centroids

Initial centroids can be selected from existing data points by using their indexes:

An array of indexes can also be used:

Alternatively, centroid values can be provided directly:

If no centroids are provided, the library automatically selects distinct data points as initial centroids:

Iterations and Convergence

The maximum number of iterations can be configured with:

The algorithm automatically stops when the centroids converge or when the maximum number of iterations is reached.

The number of iterations executed can be obtained using:

You can check whether the algorithm has converged using:

Results

Get the final centroids:

Get the initial centroids:

Get the cluster logs:

Get all logs:

Get all results:

References

Made with ❤️ + ☕ ~ Agung Dirgantara

All versions of kmeans-algorithm-php with dependencies

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Requires php Version >=5.5
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