Understanding K-means clustering algorithm is quite difficult but visualization make it easy for understanding.
How to use it?
- You can generate randomly data point or pick manually data point on canvas.
- Select the centroid by randomly by button or add manually.
- Press reassign data point button.
- Press update centoid button.
- User can choose manhatten or euclidean distance to calculate the centroid