<｜begin▁of▁sentence｜>### Instruction:
Given the Condensed Matter collaborations 2005 graph which you can read from a GML file named cond-mat-2005.gml, can you use the regularized spectral clustering function from CDlib to partition the graph into 5 clusters? Also, can you provide a JSON representation of the resulting NodeClustering object?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph
G = nx.read_gml('cond-mat-2005.gml')

# Perform regularized spectral clustering
coms = algorithms.r_spectral_clustering(G, n_clusters=5, method='regularized', percentile=50)

# Generate a JSON representation of the NodeClustering object
clusters_json = coms.to_json()
print(clusters_json)
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