<｜begin▁of▁sentence｜>### Instruction:
As an expert in networkx, I understand that you have performed edge betweenness community detection on a graph G with the following edges: [(0,1), (1,2), (0,2), (3,4), (4,5), (3,5)]. Could you provide the result of the edge betweenness community detection algorithm, so that I can help you convert the result into a VertexClustering object? Once you have the result in the form of a VertexClustering object, I can then display the clustering information as a string using the appropriate method.
### Response:
from igraph import Graph, VertexClustering 

# Assume G is an existing igraph Graph object that has been clustered
g = Graph(edges=[(0,1), (1,2), (0,2), (3,4), (4,5), (3,5)])
clustering = g.community_edge_betweenness()
vertex_clustering = VertexClustering(g, clustering.as_clustering())
print(str(vertex_clustering))
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