<｜begin▁of▁sentence｜>### Instruction:
As a wildlife rehabilitator, imagine you're overseeing a sanctuary for injured animals. Your sanctuary is like a network, with different areas representing different clusters of animals. Now, let's say you've recorded observations of animals interacting, creating a map of connections between these areas. Using the SanctuaryMap API, you can analyze this data to find the most efficient way to allocate resources across these clusters. How would you go about iterating over these clusters, ensuring each area gets the care it needs, akin to traversing the minimum vertex cover of the sanctuary network?
### Response:
from igraph import Graph

# Create a graph with edges
g = Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0), (1, 3)])

# Compute the minimum vertex cover
vc = g.mincut().as_cover()

# Iterate over the vertices in the vertex cover
for cluster in vc:
    print(cluster)
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