K - means clustering visualization
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?
- You can generate random data points or pick manually data points on the canvas.
- Select the centroid randomly by button or add manually.
- Press reassign data point button.
- Press the update centroid button.
- 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
14 Jul 2021
Keywords
Web Development
Algorithms
