spec_clust: Spectral clustering (fast)

In aaamini/nett: Network Analysis and Community Detection

Spectral clustering (fast)

Description

Perform spectral clustering (with regularization) to estimate communities

Usage

spec_clust(
  A,
  K,
  type = "lap",
  tau = 0.25,
  nstart = 20,
  niter = 10,
  ignore_first_col = FALSE
)

Arguments

A	Adjacency matrix (n x n)
K	Number of communities
type	("lap" | "adj" | "adj2") Whether to use Laplacian or adjacency-based spectral clustering
tau	Regularization parameter for the Laplacian
nstart	argument from function 'kmeans'
niter	argument from function 'kmeans'
ignore_first_col	whether to ignore the first eigen vector when doing spectral clustering

Value

A label vector of size n x 1 with elements in 1,2,...,K

aaamini/nett documentation built on Nov. 12, 2022, 6:25 p.m.