Which of the following is a feature extraction technique?

Subject: Machine Learning

Topic: Statistical Learning and Feature Engineering

Options:

1. Option A: K-Means Clustering
2. Option B: Principal Component Analysis (PCA)
3. Option C: Apriori Algorithm
4. Option D: Support Vector Machine

Correct Answer:

Option B: Principal Component Analysis (PCA)

Explanation:

Principal Component Analysis (PCA) is a classic feature extraction technique that transforms original features into a new set of uncorrelated features called principal components.