Please show that answer step by step and explain clearly, thx!!!!

3. Clustering was introduced as a way to speed up k nearest neighbor (kNN) classification. Is it possible

that clustering can lead to a better classifier? Briefly explain why.

4. Give two examples of data where the Euclidean distance is not the right metric.