K-means-clustering-visualization.github.io

2D visualization of k-means clustering algorithm

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

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