0 votes
in Clustering - The Data Ensemble by
For two runs of K-Mean clustering, is it expected to get the same clustering results?

A. Yes

B. No

1 Answer

0 votes
by

Answer: (B)

K-Means clustering algorithm instead converses on local minima, which might also correspond to the global minima in some cases but not always. Therefore, it’s advised to run the K-Means algorithm multiple times before drawing inferences about the clusters.

However, note that it’s possible to receive the same clustering results from K-means by setting the same seed value for each run. But that is done by simply making the algorithm choose the set of the same random no. for each run.

Related questions

+1 vote
asked Feb 3, 2020 in Clustering - The Data Ensemble by MBarbieri
0 votes
asked Mar 20, 2023 in Clustering - The Data Ensemble by john ganales
...