Unsupervised Learning Techniques

Check your understanding of clustering and dimensionality reduction in scikit-learn.

1. What is the primary objective of the K-means clustering algorithm?
2. Which of the following techniques is primarily used for dimensionality reduction in unsupervised learning?
3. What is a key characteristic of the DBSCAN clustering algorithm?
4. Which of the following are examples of clustering algorithms in unsupervised learning? (Select all that apply)
5. Which of the following are dimensionality reduction techniques? (Select all that apply)
6. Which of the following are common applications of unsupervised learning? (Select all that apply)
7. Principal Component Analysis (PCA) is an unsupervised learning technique.
8. The K-means algorithm is guaranteed to converge to the global optimum solution.
9. What does the acronym 'DBSCAN' stand for in the context of unsupervised learning?
10. Name one popular algorithm used for association rule learning in unsupervised learning.
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