gclust.rsvt

0th

Percentile

Graph Clustering Using SVT and NMF -- Clusters Implied by Singular Value Thresholding

Performs Clustering of Graphs using Singular Value Thresholding and Non-negative Factorization.

Usage
gclust.rsvt(glist, r=1,maxsvt=10,nmfout=FALSE,maxit=10000, nmfmethod='lee')
Arguments
glist

List of igraph Objects

r

Maximum Number of Clusters Allowed

maxsvt

Maximum Number of Singular Value Thresholding; Default is 10

nmfout

T/F indicating if the output from nmf should be returned; Default is FALSE

maxit

A number passed to irlba or svd function limiting the number of iteration; Default is 10000

nmfmethod

A number passed to irlba or svd, limiting the number of iterations; Default is 'lee'

Value

nmf

An NMF object

W

Basis Graphs

H

Probability Vector for Cluster Weights timeseries of graphs

Xorigin

Input Data in the matrix form

Aliases
  • gclust.rsvt
Examples
# NOT RUN {
require(NMF)
require(irlba)
require(igraph)
# }
Documentation reproduced from package igraph, version 1.0.1, License: GPL (>= 2)

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