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2.2 years ago

Roman
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Why does it suffice to apply some clustering algorithm such as K-means or Hierarchical clustering to the matrix of eigenvalue ratios in order to detect communities? That is, why is it that looking at the matrix of the eigenvalue ratios organizes the community data so that ordinary clustering methods can accurately detect the community structure?

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