KNN Visualiser
Live Demo:-
It is deployed using github pages. You can check out the visualiser here .
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:-
- Firstly for training click on start training.
- Once step 3 is completed now select the class and mark on the canvas.
- Once marking of classes is done then click on “Stop Training” button and then click on “Start Prediction” button.
- Now click on canvas and predictions will be seen and you can visualise the KNN Algorithm.
- Enjoy Learning!
- Drop a
⭐ on the Github Repository.
Bug / Feature Request
If you find a bug (gave undesired results), kindly open an issue here 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. Please include sample queries and their corresponding results.
Contact:-
For any kind of suggesstions/ help in code Please mail me at [email protected].