Given the following set of data points $(1,2),(2,2),(2,3),(8,7),(8,8),(9,8),(10,10),(0,0),(10,1),$ and the DBSCAN parameters eps $=1\mathrm{.}5$ and minPts $=3.1)$ Please apply the DBSCAN clustering algorithm to identify core points, border points, and noise points. $(10$ points$)2)$ List the clusters that are formed as a result of the DBSCAN algorithm. $(5$ points$)$