5 Questions
What is the initial step in the K-means algorithm?
Assign each object to the cluster with the nearest seed point
What is done when there are no changes in the assignment of points to clusters in K-means?
The algorithm is considered done
What is the purpose of recalculating centers in K-means?
To find the mean of the points in a cluster
What does 'hard clustering' refer to in K-means?
Assigning each example to the closest center without ambiguity
What action is taken if there are no changes after reassigning points and readjusting centers in K-means?
The algorithm is considered done
Test your knowledge on clustering and k-means clustering with this quiz. Explore the concept of clusters and how data objects are grouped based on similarities.
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