FusedPCA: Community Detection via Fused Principal Component Analysis

Efficient procedures for community detection in network studies, especially for sparse networks. The algorithms impose penalties on the differences of the coordinates which represent the community labels of the nodes.

Author
Yang Feng, Richard J. Samworth and Yi Yu
Date of publication
2013-11-10 17:22:49
Maintainer
Yi Yu <y.yu@statslab.cam.ac.uk>
License
GPL (>= 2.0)
Version
0.2

View on CRAN

Man pages

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...
fused.trans
The graph based penalty transformation matrix
generate
generate adjacency matrix of stochastic blockmodel,...
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

Files in this package

FusedPCA
FusedPCA/NAMESPACE
FusedPCA/R
FusedPCA/R/fpca.cluster.R
FusedPCA/R/fpca.mod.R
FusedPCA/R/dualpathFusedX.mod.R
FusedPCA/R/single.mod.R
FusedPCA/R/isolate.R
FusedPCA/R/Sign.R
FusedPCA/R/fpca.nonscore.R
FusedPCA/R/fpca.R
FusedPCA/R/fpca.start.R
FusedPCA/R/gen.cr.R
FusedPCA/R/gen.dcbm.R
FusedPCA/R/laplacian.R
FusedPCA/R/fusedlasso.mod.R
FusedPCA/R/gen.sbm.R
FusedPCA/R/Seq.R
FusedPCA/R/single.cut.R
FusedPCA/R/fpca.cut.R
FusedPCA/R/get.cluster.R
FusedPCA/R/Reciprocal.R
FusedPCA/R/fused.trans.R
FusedPCA/R/fpca.score.cluster.R
FusedPCA/R/fpca.nonscore.cluster.R
FusedPCA/R/fpca.score.R
FusedPCA/MD5
FusedPCA/DESCRIPTION
FusedPCA/man
FusedPCA/man/fpca.cut.Rd
FusedPCA/man/fpca.Rd
FusedPCA/man/isolate.Rd
FusedPCA/man/single.cut.Rd
FusedPCA/man/fpca.cluster.Rd
FusedPCA/man/fused.trans.Rd
FusedPCA/man/laplacian.Rd
FusedPCA/man/generate.Rd
FusedPCA/man/fpca.mod.Rd
FusedPCA/man/get.cluster.Rd
FusedPCA/man/single.mod.Rd