https://github.com/ksdkamesh99/knn-visualiser

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.
https://github.com/ksdkamesh99/knn-visualiser

artificial-intelligence bootstrap4 javascript knn-classifier knn-visualiser machine-learning ml5js p5js

Last synced: about 1 year ago
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It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.

• Host: GitHub
• URL: https://github.com/ksdkamesh99/knn-visualiser
• Owner: ksdkamesh99
• License: mit
• Created: 2020-09-05T18:34:23.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-01-10T09:51:14.000Z (over 5 years ago)
• Last Synced: 2025-05-12T14:21:54.810Z (about 1 year ago)
• Topics: artificial-intelligence, bootstrap4, javascript, knn-classifier, knn-visualiser, machine-learning, ml5js, p5js
• Language: HTML
• Homepage: https://ksdkamesh99.github.io/KNN-Visualiser/
• Size: 138 KB
• Stars: 21
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# KNN Visualiser

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# Live Demo:-

It is deployed using github pages. You can check out the visualiser [here](https://ksdkamesh99.github.io/KNN-Visualiser/) .

# Introduction:-

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C.  

It is implemented completely using JavaScript.  

It is developed using ml5.js and p5.js.  

# Steps to use:-

1. Firstly for training click on start training.

2. Once step 3 is completed now select the class and mark on the canvas.

3. Once marking of classes is done then click on “Stop Training” button and then click on “Start Prediction” button.

4. Now click on canvas and predictions will be seen and you can visualise the KNN Algorithm.

5. Enjoy Learning!

6. Drop a ⭐ on the Github Repository. 

# Bug / Feature Request

If you find a bug (gave undesired results), kindly open an issue [here](https://github.com/ksdkamesh99/KNN-Visualiser/issues/new/choose) by including your search query and the expected result.

If you'd like to request a new function, feel free to do so by opening an issue [here](https://github.com/ksdkamesh99/KNN-Visualiser/issues/new/). Please include sample queries and their corresponding results.

# Contact:-

For any kind of suggesstions/ help in code Please mail me at ksdkamesh99@gmail.com.