fcd.criteria:
The criterion values based along the path.
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.
References
Yang Feng, Richard J. Samworth and Yi Yu, Fused Community Detection, manuscript.