Question: Which of the following techniques is NOT typically used in feature selection?

Options:

1. Recursive Feature Elimination
2. Principal Component Analysis
3. Random Forest Importance
4. K-Means Clustering

Correct Answer: K-Means Clustering

Solution:

K-Means Clustering is an unsupervised learning algorithm used for clustering, not for feature selection.