<｜begin▁of▁sentence｜>### Instruction:
As an auctioneer, you are tasked with conducting an auction for a collection of valuable items represented by a network of connections. The list of items and their relationships is stored in a file called 'adjnoun.gml'. Using the SCAN algorithm in cdlib, with epsilon set to 0.7 and mu to 3, you are required to identify and group the related items into clusters. Once completed, you need to generate a JSON representation of the clusters for further analysis.
### Response:
import networkx as nx
from cdlib import algorithms

# Read graph from 'adjnoun.gml' file
G = nx.read_gml('adjnoun.gml')

# Apply SCAN algorithm for community detection with the specified parameters
communities = algorithms.scan(G, epsilon=0.7, mu=3)

# Generate a JSON representation of the clustering
json_representation = communities.to_json()

# Print the JSON
print(json_representation)
<|EOT|>
