<｜begin▁of▁sentence｜>### Instruction:
As a recreational therapist, imagine working at a rehabilitation center where you are responsible for planning and implementing activities to help individuals with disabilities or injuries. You might use various recreational and leisure activities such as arts, crafts, sports, games, or music to improve their quality of life and social skills. Now, imagine you are using a tool similar to igraph's Clustering object to identify clusters of individuals with similar interests or needs, and you want to retrieve the members of the first cluster identified through the community detection process.
### Response:
from igraph import Graph

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

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

# Perform a community detection algorithm to find clusters
communities = g.community_edge_betweenness()
clusters = communities.as_clustering()

# Retrieve the members of the first cluster
cluster_members = clusters[0]

# Print the members of the first cluster
print(cluster_members)
<|EOT|>
