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.
