Support vectors in three dimensions

[Yellin]

10 events are randomly placed in a cube according to a probability density that is non-zero and finite everywhere in the cube. The events are classified into two classes in a linearly separable manner with at least one event in each class. What is the maximum possible number of support vectors needed with non-zero probability to maximize the margin?

a) 2
b) 3
c) 4
d) 5
e) none of the above