`import "gonum.org/v1/gonum/graph/spectral"`

Package spectral provides graph spectral analysis functions.

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type Laplacian struct { // Matrix holds the Laplacian matrix. mat.Matrix // Nodes holds the input graph nodes. Nodes []graph.Node // Index is a mapping from the graph // node IDs to row and column indices. Index map[int64]int }

Laplacian is a graph Laplacian matrix.

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func NewLaplacian(g graph.Undirected) Laplacian

NewLaplacian returns a Laplacian matrix for the simple undirected graph g. The Laplacian is defined as D-A where D is a diagonal matrix holding the degree of each node and A is the graph adjacency matrix of the input graph. If g contains self edges, NewLaplacian will panic.

NewRandomWalkLaplacian returns a damp-scaled random walk Laplacian matrix for the simple graph g. The random walk Laplacian is defined as I-D^(-1)A where D is a diagonal matrix holding the degree of each node and A is the graph adjacency matrix of the input graph. If g contains self edges, NewRandomWalkLaplacian will panic.

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func NewSymNormLaplacian(g graph.Undirected) Laplacian

NewSymNormLaplacian returns a symmetric normalized Laplacian matrix for the simple undirected graph g. The normalized Laplacian is defined as I-D^(-1/2)AD^(-1/2) where D is a diagonal matrix holding the degree of each node and A is the graph adjacency matrix of the input graph. If g contains self edges, NewSymNormLaplacian will panic.

Package spectral imports 3 packages (graph) and is imported by 1 packages. Updated 2019-11-08. Refresh now. Tools for package owners.