<｜begin▁of▁sentence｜>### Instruction:
As a fitness instructor leading a group exercise class, you want to visually represent the clustering of your clients based on their workout preferences. Can you utilize the visualization tools available in the fitness club management software to generate a graphical representation of the clustering results, showcasing the distinct workout clusters with different colors to help motivate and engage your clients?
### Response:
import igraph as ig

# Load a graph
graph = ig.Graph.Famous('Zachary')

# Perform community detection to get a VertexClustering object
vc = graph.community_edge_betweenness()
clusters = vc.as_clustering()

# Plot the graph with clusters marked
colors = ['red', 'blue', 'green', 'yellow']
ig.plot(clusters, mark_groups=True, vertex_color=colors, vertex_label=clusters.membership).show()
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