https://github.com/khumam/knn-algorithm
This is the simple KNN Algorithm using PHP and you can use csv file as dataset
https://github.com/khumam/knn-algorithm
knn knn-algorithm knn-php machine-learning machine-learning-algorithms ml php
Last synced: 2 months ago
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This is the simple KNN Algorithm using PHP and you can use csv file as dataset
- Host: GitHub
- URL: https://github.com/khumam/knn-algorithm
- Owner: khumam
- License: mit
- Created: 2019-02-19T15:38:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-22T23:20:52.000Z (over 5 years ago)
- Last Synced: 2025-03-27T02:38:54.278Z (3 months ago)
- Topics: knn, knn-algorithm, knn-php, machine-learning, machine-learning-algorithms, ml, php
- Language: PHP
- Homepage:
- Size: 11.7 KB
- Stars: 8
- Watchers: 0
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# KNN Algorithm
This is a simple KNN or K - Nearest Neighbor algorithm. Maybe the code can't be read properly, so I try to make this program so that it can be read better, and for anyone who wants to use it is welcome.
# Usage
require the Knn.php inside src folder
```php
require 'src/Knn.php';
```
Here an example
```php
$datasample = [[2,3],[4,5],[5,1],[8,9],[3,7],[1,7]]; //Sample Data
$datalabel = ['a', 'a', 'b', 'b', 'c', 'c']; //Label Data. [2,3] labeled by a, [5,1] labeled by b, etc
$key = 3; //optional. Default is 3. Smallest key is more accurate
$predict = [1, 7]; //Input
$data = new Knn($datasample, $datalabel, $predict, $key);
echo $data->result; //output is c
```
more examples are in example.php file
### Using csv file as dataset
You can use csv file as dataset. Here the tutorial how to use it.
First create the dataset in csv format. Use this format below.
```
"parameter1", "parameter2", "parameter3", "etc", "label"
```
example
```
21,43,14,"Apple"
```
See file.csv inside dataset folder for example.
Save it to dataset folder.
The Code
```php
require('src/Knn.php');
$csvFileName = 'files.csv'; //name of csv file, must containt .csv {required}
$predict = [3,4,1]; //predict {required}
$key = 3; //key {optional: default is 3}
$inputToCsv = true; //true, so the result will be inputed to csv file as the new sample. {optional: default is false}
$data = new KnnCsv($csvFileName, $predict, $key, $inputToCsv);
echo $data->result;
```
You can change the dataset folder in `src/KnnCsv.php`
### Train data
```php
$fileCsvName = 'file.csv'; //csv file name
$countData = 20; //Number of data will be inserted
$offset = 1; //Create offset random number
$limit = 200; //Create max random number
new KnnTrain($fileCsvName, $countData, $offset, $limit);
```