spectral.clustering: Spectral clustering and its variant.

In fcd: Fused Community Detection

Description

Use spectral clustering and its variant for community detection in a network.

Usage

spectral.clustering(A, normalised = TRUE, score = FALSE, K = 2, adj = FALSE)

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.
normalised	a logic variable indicating whether normalised Laplacian matrix is used in community detection.
score	a logical variable indicating whether the RoE is used.
K	input integer – the pre-specified number of communities, with the default value 2.
adj	adjacency matrix is used or not.

Value

a vector of labels are returned.

Author(s)

Yang Feng, Richard J. Samworth and Yi Yu

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