5. Review the following distance matrix between 5 samples (A-E). 0 / 1 point A B C D m A 0 9 W 11 B 9 0 5 10 C O V W 9 N D 6 5 9 O 8 E 11 10 2 8 0 What would be the clusters if we use DBSCAN clustering with following parameters? Eps: 3 Minimum samples (MinPts): 2 Distance measurement: Euclidean distance cluster1: {A, C), cluster2: {B) cluster3: {E), and cluster4: {D} O cluster1: {A, C, E), B and D are noise points