<｜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 markov_clustering function in `cdlib` to perform community detection using expansion factor of 2, inflation factor of 2, loop value of 0.1, and a maximum of 100 iterations? The resulting communities should be outputted.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Perform Markov clustering with specified parameters
communities = algorithms.markov_clustering(G, expansion=2, inflation=2, loop_value=0.1, iterations=100)

# Output the resulting communities
for community in communities.communities:
    print(community)
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