1.
The followings are the performance measures generated frommultiple runs of the k-Means model on the same dataset withdifferent configurations. Which one presents the best k-Meansmodel.
Select one:
a. SSE: 303; Davies-Bouldin index: 0.29
b. SSE: 706: Davies-Bouldin index: 0.85
c. SSE: 866; Davies-Bouldin index: 0.87
2.
You have to specify which of the following parameters before therun of the DBSCAN algorithm.
Select one:
a. epsilon
b. epsilon and MinPoints
c. Number of clusters (k)
d. MinPoints
