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Top 41 K-Means Clustering Interview Questions
Entry Junior Mid Senior Expert
K-Means Clustering Theoretical Questions
Q1:
What are some applications of k-Means Clustering?
Entry
Q2:
Why does k-Means Clustering use mostly the Euclidean Distance metric?
Junior
Q3:
Related To: Classification, Unsupervised Learning, Supervised Learning
What is the difference between KNN and K-means Clustering?
Related To: Classification, Unsupervised Learning, Supervised Learning Junior
Q4:
What are some Stopping Criteria for k-Means Clustering?
Junior
Junior
Q6:
What is the Uniform Effect that k-Means Clustering tends to produce?
Junior
Q7:
Explain what is k-Means Clustering?
Junior
Q8:
Related To: K-Nearest Neighbors
What is the main difference between k-Means and k-Nearest Neighbours?
Related To: K-Nearest Neighbors Junior
Q9:
How would you perform k-Means on very large datasets?
Mid Q10:
Related To: Clustering
What is the difference between the Manhattan Distance and Euclidean Distance in Clustering?
Related To: Clustering Mid Q11:
What is the difference between Classical k-Means and Spherical k-Means?
Mid Q12:
Related To: Anomaly Detection
Explain some cases where k-Means clustering fails to give good results
Related To: Anomaly Detection Mid Q13:
What is the use of Fuzzy C-Means Clustering?
Mid Mid Q15:
What is the difference between k-Means and k-Medians and when would you use one over another?
Mid Q16:
What is the difference between traditional k-Means and the SAIL algorithm?
Mid Q17:
How do you measure the Consistency between different k-Means Clustering outputs?
Mid Q18:
How would you Pre-Process the data for k-Means?
Mid Q19:
How is Entropy used as a Clustering Validation Measure?
Mid Q20:
What is the k-Means based Consensus Clustering?
Mid Mid Mid Mid Mid Q25:
Related To: Clustering
While performing K-Means Clustering, how do you determine the value of K?
Related To: Clustering Mid Mid Q27:
How does Spherical k-Means work with high dimensional data such as text?
Senior Senior Q29:
Related To: Curse of Dimensionality, Dimensionality Reduction
How does the Curse of Dimensionality affect k-Means Clustering?
Related To: Curse of Dimensionality, Dimensionality Reduction Senior Q30:
How do the clusters generated by k-Means and Mini Batch k-Means compare?
Senior Q31:
What are some properties of the Point-to-Centroid Distance?
Senior Q32:
Why would you use Correlation-based Distances in k-Means Clustering?
Senior Q33:
How does Forgy Initialization, Random Partition Initialization, and kmeans++ Initialization compare with each other?
Senior Q34:
When would you use Fuzzy C-Means as opposed to k-Means?
Senior Q35:
Related To: Clustering, Unsupervised Learning
How to tell if data is clustered enough for clustering algorithms to produce meaningful results?
Related To: Clustering, Unsupervised Learning Senior Q36:
Related To: Clustering
How would you choose the number of Clusters when designing a K-Medoid Clustering Algorithm?
Related To: Clustering Senior Senior Senior Expert Expert K-Means Clustering Practical Challenges
Senior 
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