What are the applications of spectral graph theory?
Spectral graph theory has applications in various fields, including network analysis, machine learning, and quantum computing.
Can you explain how it's used in network analysis?
In network analysis, spectral graph theory helps in understanding the structure of networks, identifying communities, and optimizing network flows.
What about its role in machine learning?
In machine learning, it aids in dimensionality reduction techniques like spectral clustering, which groups data based on graph properties.
Are there any applications in physics?
Yes, in physics, it's used to study quantum systems and analyze the behavior of particles in complex networks.
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