<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edge set [(0, 1), (0, 2), (1, 2), (3, 4), (4, 5), (3, 5)], after performing community detection using the community_multilevel function, how can you summarize the detected clusters including the number of items, the number of clusters, and the list of cluster members?
### Response:
from igraph import Graph, Clustering

# Define the edges for the graph
edges = [(0, 1), (0, 2), (1, 2), (3, 4), (4, 5), (3, 5)]

# Create the graph with the defined edges
g = Graph(edges=edges)

# Perform a community detection algorithm to create clusters
# Here we are using a simple community_multilevel function
clusters = g.community_multilevel()

# Get a summary of the clustering
clustering_summary = clusters.summary(verbosity=1)
print(clustering_summary)
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