get.cluster: Final estimators of the community labels

In fcd: Fused Community Detection

Description

Get the final estimator of the community labels along the path, according to ratio cut or normalised cut criterion.

Usage

get.cluster(A, iso.seq, criteria.list, clusters.list)

Arguments

A	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.
criteria.list	the criteria value lists along the path. Notice, only meaningful values are input. For details, please see the listed paper.
clusters.list	the estimators of the community labels along the path.

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.

Author(s)

Yang Feng, Richard J. Samworth and Yi Yu

References

Yang Feng, Richard J. Samworth and Yi Yu, Fused Community Detection, manuscript.

fcd documentation built on May 2, 2019, 3:28 p.m.