<｜begin▁of▁sentence｜>### Instruction:
Given a graph with the edge set [(0, 1), (1, 2), (2, 3), (3, 0), (0, 2), (1, 3)], how can you determine the community structure by cutting the dendrogram at the desired number of clusters, for example, n=2, using the VertexDendrogram.as_clustering method from igraph library?
### Response:
from igraph import Graph

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

# Perform a community detection algorithm first to obtain a VertexDendrogram
vertex_dendrogram = g.community_edge_betweenness()

# Cut the dendrogram at a specified level to get a VertexClustering
vertex_clustering = vertex_dendrogram.as_clustering(n=2)

# Print the cluster membership of each vertex
print(vertex_clustering.membership)
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