<｜begin▁of▁sentence｜>### Instruction:
As a quality control inspector, you have a graph representing different manufacturing processes based on their interconnectedness. The edges denote the relationships between these processes. Your task is to identify distinct clusters within the graph, representing groups of closely related processes, and visualize the graph by assigning a different color to each cluster. This will help in understanding how different clusters of processes are interconnected and may aid in identifying potential areas for improvement in the manufacturing system.
### Response:
from graph_tool.all import Graph, graph_draw

# Define the edges for the graph
g = Graph(directed=False)
edges = [(1, 2), (2, 3), (3, 1), (3, 4), (4, 5), (5, 6), (6, 4)]
g.add_edge_list(edges)

# Find the vertex groups (clusters)
comp, hist = g.label_components()

# Now we can draw the graph with vertex colors based on the component they belong to
group_artist = comp.a
group_artist = group_artist % 256  # Bound the values for use with 256 color palette
graph_draw(g, vertex_fill_color=group_artist, output_size=(200, 200))
<|EOT|>
