<｜begin▁of▁sentence｜>### Instruction:
As a lighting designer, you've been tasked with illuminating a large entertainment venue with complex architecture. To enhance the visual experience, you want to analyze the network of lighting systems within the venue and determine the optimal arrangement for creating distinct clusters of lighting. To achieve this, you need to utilize the r_spectral_clustering function with regularization in the cdlib library and input the venue's lighting network data to perform community detection for clustering the lighting arrangements into 5 distinct groups. After the analysis, you are required to provide a JSON representation of the detected lighting clusters for further planning and implementation.
### Response:
from cdlib import algorithms
import networkx as nx

# Read the Internet AS graph
G = nx.read_gml('as-22july06.gml')

# Perform spectral clustering using regularization to address the limitation of large clusters
coms = algorithms.r_spectral_clustering(G, n_clusters=5, method='regularized', percentile=25)

# Generate a JSON representation of the detected communities
communities_json = coms.to_json()

# Print the JSON representation of the communities
print(communities_json)
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