A                       Computes the Adjacency linear operator which
                        maps a vector of weights into a valid Adjacency
                        matrix.
L                       Computes the Laplacian linear operator which
                        maps a vector of weights into a valid Laplacian
                        matrix.
block_diag              Constructs a block diagonal matrix from a list
                        of square matrices
cluster_k_component_graph
                        Cluster a k-component graph from data using the
                        Constrained Laplacian Rank algorithm Cluster a
                        k-component graph on the basis of an observed
                        data matrix. Check out
                        https://mirca.github.io/spectralGraphTopology
                        for code examples.
fscore                  Computes the fscore between two matrices
learn_bipartite_graph   Learn a bipartite graph Learns a bipartite
                        graph on the basis of an observed data matrix
learn_bipartite_k_component_graph
                        Learns a bipartite k-component graph Jointly
                        learns the Laplacian and Adjacency matrices of
                        a graph on the basis of an observed data matrix
learn_combinatorial_graph_laplacian
                        Learn the Combinatorial Graph Laplacian from
                        data Learns a graph Laplacian matrix using the
                        Combinatorial Graph Laplacian (CGL) algorithm
                        proposed by Egilmez et. al. (2017)
learn_k_component_graph
                        Learn the Laplacian matrix of a k-component
                        graph Learns a k-component graph on the basis
                        of an observed data matrix. Check out
                        https://mirca.github.io/spectralGraphTopology
                        for code examples.
learn_laplacian_gle_admm
                        Learn the weighted Laplacian matrix of a graph
                        using the ADMM method
learn_laplacian_gle_mm
                        Learn the weighted Laplacian matrix of a graph
                        using the MM method
relative_error          Computes the relative error between two
                        matrices
spectralGraphTopology-package
                        Package spectralGraphTopology
