please give me solution about DBSCAN ML

Question 2: [ PLO S1] [8 marks] Consider the following 8 examples and the distance matrix based on the Euclidean distance is given Use the distance matrix to label each data point as either a: core, noise, or border point. ( 1 points + the point we are considering as center for computing the density) Indicate the clusters and noise points obtained after application of DBSCAN. a. If Epsilon =2 and MinPts =2 : [4 marks] b. what if we increase Epsilon =10 and MinPts =2 : [4 marks] Page 5 of 10