Question

Which of the following is true about the k-means algorithm? Please choose all that apply. can converge to different final clustering, depending on initial choice of representatives is typically done in Excel or similar software r it is difficult to implement due to multiple special cases It always converges to a clustering that minimizes the mean-square vector- representative distance is widely used in practice

Answer 1

Of the provided options, the following are true about the k-means algorithm:

• can converge to different final clustering, depending on initial choice of representatives

• is typically done in Excel or similar software

• is widely used in practice