I am studying the K-means algorithm.
I do not understand why different initial center(centroid/mean) of the clusters influence on the final clustering result? Could anybody please kindly explain?
Thanks!
I am studying the K-means algorithm.
I do not understand why different initial center(centroid/mean) of the clusters influence on the final clustering result? Could anybody please kindly explain?
Thanks!