Thread: [K-means algorithm] why different initial center(mean) return different final result

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!

Sorry. Please delete this topic for me. Thanks!