Question: When using K - means, why might different runs produce slightly different results? Answer choices Select an option It relies on random initialization It uses
When using Kmeans, why might different runs produce slightly different results?
Answer choices
Select an option
It relies on random initialization
It uses a different central tendency measure for computing cluster centroids in each iteration
It scales the data on each iteration
It uses a different distance metrics on each iteration
Step by Step Solution
There are 3 Steps involved in it
1 Expert Approved Answer
Step: 1 Unlock
Question Has Been Solved by an Expert!
Get step-by-step solutions from verified subject matter experts
Step: 2 Unlock
Step: 3 Unlock
