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Question

What approach is commonly used to represent networks and hierarchies in two dimensions?

a.

Multi-dimensional scaling

b.

Converting to numeric data

c.

Simulated gravity

d.

Self-organizing neural networks

Answer: (a).Multi-dimensional scaling Explanation:A common approach is to convert discrete structures into some measure of similarity and then apply statistical multi-dimensional scaling or similar techniques to map the data points into two or three dimensions while preserving similarity measures.

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Q. What approach is commonly used to represent networks and hierarchies in two dimensions?

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