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Description
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A (simple, directed, multiviewβ¦) graph with nodes, suitably connected
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The (possibly weighted) adjacency matrix of
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The degree of a node of defined as
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The volume of a node subset , defined as
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The degree matrix of .
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The spectrum of a matrix ; the th largest eigenvalue of .
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The singular values of a matrix ; the th largest singular value of .
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The span of a matrix or vector
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The Stiefel manifold of matrices in with orthonormal columns
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The orthogonal group of matrices in with orthonormal columns
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The Grassmann manifold of -dimensional linear subspaces of
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An algorithm which clusters nodes with Euclidean embeddings into derived from the extreme of a matrix spectrum (a static spectral method)
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The rank- singular value decomposition of
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| MCM of
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A matrix satisfying , where βs rows are the spectral embeddings from into . Called a modeled clustering matrix (MCM)
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