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Top 41 Clustering Interview Questions
Entry Junior Mid Senior Expert
Clustering Theoretical Questions
Q1:
Define what is Clustering?
Entry
Q2:
Give examples of using Clustering to solve real-life problems
Junior
Q3:
What is Mean-Shift Clustering?
Junior
Q4:
What is Similarity-based Clustering?
Junior
Q5:
What is the Jaccard Index?
Junior
Q6:
Related To: Supervised Learning
What is the difference between a Multiclass problem and a Multilabel problem?
Related To: Supervised Learning Junior
Junior
Q8:
Why do you need to perform Significance Testing in Clustering?
Junior
Q9:
What is Latent Class Model?
Mid Q10:
How would you perform an Observation-Based Clustering for Time-Series Data?
Mid Q11:
Name some pros and cons of Mean Shift Clustering
Mid Mid Q13:
What is Silhouette Analysis?
Mid Q14:
Related To: K-Means Clustering
What is the difference between the Manhattan Distance and Euclidean Distance in Clustering?
Related To: K-Means Clustering Mid Q15:
Related To: Anomaly Detection
What would be a good way to use Clustering for Outlier detection?
Related To: Anomaly Detection Mid Q16:
Related To: Anomaly Detection
What are some of the differences between Anomaly Detection and Behaviour Detection?
Related To: Anomaly Detection Mid Q17:
Related To: Unsupervised Learning, Dimensionality Reduction
What is the difference and connection between Clustering and Dimension Reduction?
Related To: Unsupervised Learning, Dimensionality Reduction Mid Mid Q19:
Related To: Unsupervised Learning
What is the difference between the two types of Hierarchical Clustering?
Related To: Unsupervised Learning Mid Q20:
Related To: K-Means Clustering
While performing K-Means Clustering, how do you determine the value of K?
Related To: K-Means Clustering Mid Q21:
What are some different types of Clustering Structures that are used in Clustering Algorithms?
Mid Q22:
When would you use Hierarchical Clustering over Spectral Clustering?
Mid Mid Q24:
Where do the Similarities come from in Similarity-based Clustering?
Mid Q25:
What is the Mixture in Gaussian Mixture Model?
Mid Q26:
Related To: K-Means Clustering
When would you use Hierarchical Clustering over k-Means Clustering?
Related To: K-Means Clustering Senior Q27:
Related To: Unsupervised Learning
Explain how a cluster is formed in the DBSCAN Clustering Algorithm
Related To: Unsupervised Learning Senior Q28:
Related To: Anomaly Detection
What are some characteristics of Clustering Algorithms concerning Anomaly Detection?
Related To: Anomaly Detection Senior Q29:
Related To: Anomaly Detection
How does Cluster Algorithms work on detecting Anomalies when the cluster sizes are different?
Related To: Anomaly Detection Senior Q30:
Explain the Dirichlet Process Gaussian Mixture Model
Senior Q31:
Related To: K-Means Clustering
What makes the distance measurement of k-Medoids better than k-Means?
Related To: K-Means Clustering Senior Q32:
How to choose among the various clustering Distance Measures?
Senior Q33:
When using various Clustering Algorithms, why is Euclidean Distance not a good metric in High Dimensions?
Senior Q34:
When would you use Segmentation over Clustering?
Senior Q35:
Related To: Unsupervised Learning, K-Means Clustering
How to tell if data is clustered enough for clustering algorithms to produce meaningful results?
Related To: Unsupervised Learning, K-Means Clustering Senior Q36:
Related To: Unsupervised Learning
Why does K-Means have a higher bias when compared to Gaussian Mixture Model?
Related To: Unsupervised Learning Senior Q37:
Related To: K-Means Clustering
How would you choose the number of Clusters when designing a K-Medoid Clustering Algorithm?
Related To: K-Means Clustering Senior Q38:
Why is Euclidean Distance not good for Sparse Data?
Senior Expert Q40:
What is the motivation behind the Expectation-Maximization Algorithm?
Expert Q41:
Related To: PCA, K-Means Clustering
What is the relationship between k-Means Clustering and PCA?
Related To: PCA, K-Means Clustering Expert 
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