fcd.criteria: The criterion values based along the path.

In fcd: Fused Community Detection

Description

The ratio cut and normalised cut values along the path.

Usage

fcd.criteria(A, fcd.cluster, K = 2, iso.seq)

Arguments

A	input matrix – adjacency matrix of an observed graph based on the non-isolated nodes, of dimension n.noniso x n.noniso, where n.noniso is the number of the non-isolated nodes.
fcd.cluster	a list of vectors, with each vector as the estimator of the community labels of the non-isolated nodes in the network, of dimension n.noniso, values taken from 1 to K, where K is the number of communities.
K	the number of the communities, with 2 as the default value.
iso.seq	a vector of the indices of those isolated nodes in the graph. If it is missing, obj should be offered.

Value

ratio.list	a list of ratio cut values for the estimator path.
normalised.list	a list of normalised cut values for the estimator path.

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.