2D visualization of k-means clustering algorithm

This Project is for understanding the k-means clustering algorithm
 

Technology - Web development

Languages - HTML, CSS, javascript

Framework - Bootstrap

Understanding the K-means clustering algorithm is quite difficult but visualization makes it easy for understanding.
How to use it?
 

1. You can generate random data points or pick manually data points on the canvas.
2. Select the centroid randomly by button or add manually.
3. Press reassign data point button.
4. Press the update centroid button.
5. Users can choose Manhatten or euclidean distance to calculate the centroid

Enjoy visualizer!

Github code - https://github.com/Saurabh641444/K-means-clustering-visualization.github.io