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‘K-Means Clustering’ Interview Questions

How does K-Means Work?

How can you choose the optimal value for ‘k’ in K-Means?

What loss function does K-Means seek to minimize?

How does the initial choice of centroids affect the K-Means algorithm?

What are some pros and cons of K-Means Clustering?

What is the effect of minimizing the within-cluster sum of squares on the shapes of clusters produced in K-Means?

How do outliers affect the clusters formed in K-Means?

How does K-Means ++ work?

What are some of the pros and cons of hierarchical clustering compared to K-Means?

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