1. In a Table format compare Linear Regression, Decision Tree, Clustering (e.g. K-means clustering) and Reinforce Learning (e.g. Markov Decision Process):

1. Column A: State a short definition
2. Colum B: When to use?
3. Column C: List an example for each approach
4. How do you determine the number of clusters for Clustering? What is the most appropriate approach to do so?