Question: Which of the following is a common method for feature extraction?

Options:

1. K-means Clustering
2. Support Vector Machines
3. Principal Component Analysis
4. Decision Trees

Correct Answer: Principal Component Analysis

Solution:

Principal Component Analysis (PCA) is a technique used to reduce dimensionality by extracting important features.