specClust: Performs spectral clustering on an adjacency matrix.

In norbertbin/SpecClustPack: Spectral Clustering for Network Analysis

Description

Performs spectral clustering on an adjacency matrix.

Usage

specClust(adjMat, nBlocks, method = "regLaplacian", rowNorm = T,
  nIter = 20, verbose = F)

Arguments

adjMat	A graph adjacency matrix.
nBlocks	The number of clusters in the graph.
method	The form of the ajacency matrix to be used (default is regLaplacian).
rowNorm	If true, eigenvector rows should be normalized before running kmeans (default is true).
nIter	Number of kmeans iterations (default is 10).
verbose	If true, return a list with cluster assignments, within cluster sum of squares, and eigendecomposition (default is false).

Value

A vector of node cluster assignments. Or, if verbose is set to true a list with cluster assignments and additional information.

norbertbin/SpecClustPack documentation built on May 23, 2019, 9:32 p.m.