input matrix -- the adjacency matrix of the observed graph. Notice, both isolated and non-isolated nodes are included.
iso.seq
a vector of the indices of the isolated nodes. It can be generated by isolate.
cut.list
the ratio cut and normalised cut value lists along the path. Notice, only meaningful values are input. For details, please see the listed paper. It can be generated by fpca.cut.
clusters.list
the estimators of the community labels along the path. It can be generated by fpca.cluster.
mod.list
the modularity value lists based on the DCBM and SBM assumptions along the path. Notice, only meaningful values are input. For details, please see the listed paper. It can be generated by fpca.mod.
Value
final.ratio.cluster
the final estimator of the community labels according to the ratio cut criterion.
ratio.location
the location of the chosen estimator on the path according to the ratio cut criterion.
final.normalised.cluster
the final estimator of the community labels according to the normalised cut criterion.
normalised.location
the location of the chosen estimator on the path according to the normalised cut criterion.
References
Yang Feng, Richard J. Samworth and Yi Yu, Community Detection via Fused Principal Component Analysis, manuscript.