Two-dimensional visualization of k-means clustering algorithm
Data points
Add manually
Add randomly
data point(s)
Remove all
Centroids
Add manually
Add randomly
centroid(s)
Remove all
Algorithm
1.
Reassign data points
2.
Update centroids' positions
Run steps in loop
every
millisecond(s)
Distance function:
