1. Describe the steps of the k-Means clustering algorithm. What does the ‘k’ represent?
2. Why is dimensionality reduction useful in machine learning?
3. Provide a real-world application for clustering (e.g., customer segmentation).
4. What is the main objective of PCA?
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