Community Detection via Fused Principal Component Analysis

Documentation for package ‘FusedPCA’ version 0.2

fpca	Fused Principal Component Analysis path.
fpca.cluster	Clustering the estimators along the path.
fpca.cut	The ratio cut and normalised cut values along the path
fpca.mod	The modularity values based on the DCBM and SBM assumptions along the path
fpca.nonscore	Fused Principal Component Analysis path.
fpca.nonscore.cluster	Clustering the estimators along the path.
fpca.score	Fused Principal Component Analysis path.
fpca.score.cluster	Clustering the estimators along the path.
fpca.start	Fused Principal Component Analysis path.
fused.trans	The graph based penalty transformation matrix
gen.cr	generate adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
gen.dcbm	generate adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
gen.sbm	generate adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
get.cluster	Final estimators of the community labels
isolate	Isolated nodes collection
laplacian	Laplacian matrix
single.cut	Ratio cut and normalised cut values
single.mod	Modularity based on DCBM and SBM assumptions