mirror of
https://github.com/Karaka-Management/phpOMS.git
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204 lines
4.5 KiB
PHP
204 lines
4.5 KiB
PHP
<?php
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/**
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* Jingga
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*
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* PHP Version 8.1
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*
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* @package phpOMS\Math\Topology
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* @copyright Dennis Eichhorn
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* @license OMS License 2.0
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* @version 1.0.0
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* @link https://jingga.app
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*/
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declare(strict_types=1);
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namespace phpOMS\Math\Topology;
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/**
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* Kernels.
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*
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* The bandwidth in the following functions is equivalent with sigma.
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*
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* @package phpOMS\Math\Topology
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* @license OMS License 2.0
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* @link https://jingga.app
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* @since 1.0.0
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*/
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final class Kernel2D
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{
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/**
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* Constructor
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*
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* @since 1.0.0
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* @codeCoverageIgnore
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*/
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private function __construct()
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{
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}
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/**
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* Uniform kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function uniformKernel(float $distance, float $bandwidth) : float
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{
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return \abs($distance) <= $bandwidth / 2
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? 1 / $bandwidth
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: 0.0;
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}
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/**
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* Triangular kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function triangularKernel(float $distance, float $bandwidth) : float
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{
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return \abs($distance) <= $bandwidth / 2
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? 1 - \abs($distance) / ($bandwidth / 2)
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: 0.0;
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}
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/**
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* Epanechnikov kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function epanechnikovKernel(float $distance, float $bandwidth) : float
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{
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if (\abs($distance) <= $bandwidth) {
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$u = \abs($distance) / $bandwidth;
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return 0.75 * (1 - $u * $u) / $bandwidth;
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} else {
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return 0.0;
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}
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}
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/**
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* Quartic kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function quarticKernel(float $distance, float $bandwidth) : float
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{
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if (\abs($distance) <= $bandwidth) {
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$u = \abs($distance) / $bandwidth;
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return (15 / 16) * (1 - $u * $u) * (1 - $u * $u) / $bandwidth;
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} else {
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return 0.0;
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}
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}
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/**
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* Triweight kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function triweightKernel(float $distance, float $bandwidth) : float
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{
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if (\abs($distance) <= $bandwidth) {
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$u = \abs($distance) / $bandwidth;
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return (35 / 32) * (1 - $u * $u) * (1 - $u * $u) * (1 - $u * $u) / $bandwidth;
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} else {
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return 0.0;
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}
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}
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/**
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* Tricube kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function tricubeKernel(float $distance, float $bandwidth) : float
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{
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if (\abs($distance) <= $bandwidth) {
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$u = \abs($distance) / $bandwidth;
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return (70 / 81) * (1 - $u * $u * $u) * (1 - $u * $u * $u) * (1 - $u * $u * $u) / $bandwidth;
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} else {
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return 0.0;
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}
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}
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/**
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* Gaussian kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function gaussianKernel(float $distance, float $bandwidth) : float
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{
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return \exp(-($distance * $distance) / (2 * $bandwidth * $bandwidth)) / ($bandwidth * \sqrt(2 * \M_PI));
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}
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/**
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* Cosine kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function cosineKernel(float $distance, float $bandwidth) : float
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{
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return \abs($distance) <= $bandwidth
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? (\M_PI / 4) * \cos(\M_PI * $distance / (2 * $bandwidth)) / $bandwidth
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: 0.0;
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}
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/**
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* Logistic kernel.
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*
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* @param float $distance Distance
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* @param float $bandwidth Bandwidth
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public static function logisticKernel(float $distance, float $bandwidth) : float
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{
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return 1 / (\exp($distance / $bandwidth) + 2 + \exp(-$distance / $bandwidth));
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}
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}
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