On this website, you will find an online simulator of the DBSCAN clustering technique. Visit this page and choose the first dataset option named **Uniform**. Recall from our lecture notes that the DBSCAN method has two free adjustable parameters that you need to set prior to clustering.

- What are the two free parameters of the DBSCAN clustering technique?
- Choose a set of parameters for DBSCAN on this page for the uniform dataset such that all points are partitioned a single cluster. Is this set of parameters unique to achieve the same clustering result? If not, provide another example set of parameters?
- Now, choose another set of parameters such that there is at least one outlier (noise) point left at the end of clustering that does not belong to any cluster.