<｜begin▁of▁sentence｜>### Instruction:
As a 3D animator, you've been tasked with creating a detailed visual representation of a network of interconnected points. The points represent various locations in a city, and you need to use hierarchical clustering to create a dendrogram that illustrates the relationships between these locations. Additionally, you've been asked to assign custom node names ('A', 'B', 'C', 'D', 'E') to the dendrogram to make it more user-friendly for the city planners who will be using it to analyze the logistical connections between these locations.
### Response:
import igraph as ig
from scipy.cluster import hierarchy

# Create some data, for example 2D points
points = [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4)]

# Perform hierarchical clustering
Z = hierarchy.linkage(points, 'single')

# Convert to a dendrogram object in igraph
dendrogram = ig.Dendrogram(Z)
dendrogram.names = ['A', 'B', 'C', 'D', 'E']

# Print the node names of the dendrogram
print(dendrogram.names)
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